proposed criteria for the assessment of low frequency
TRANSCRIPT
Proposed criteria for the assessment oflow frequency noise disturbance
Moorhouse, AT, Waddington, DC and Adams, MD
Title Proposed criteria for the assessment of low frequency noise disturbance
Authors Moorhouse, AT, Waddington, DC and Adams, MD
Type Monograph
URL This version is available at: http://usir.salford.ac.uk/id/eprint/491/
Published Date 2005
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Prepared for Defra by Dr. Andy Moorhouse, Dr. David Waddington, Dr. Mags Adams
Proposed criteria for the assessment of low frequency noise disturbance
Revision 1 December 2011 Contract no NANR45
NANR45: Criteria Revision 1, December 2011
Acoustics Research Centre, University of Salford
Document control
Version Issued Title Comments
NANR45 February 2005 Proposed criteria for the
assessment of low
frequency noise
disturbance
NANR45
revision 1
December 2011 Proposed criteria for the
assessment of low
frequency noise
disturbance
Corrections made to
Figures 35-37, Table 8
and text on page 58-63
ERRATA: revisions to NANR45 revision 1 issued December 2011
Section NANR45 Feb. 2005 NANR45 revision 1 December
2011
Figure 35 Distributions corrected
Table 8 Values corrected
Figure 36 L10-L90 values on x axis corrected
Figure 37 Plotted level instead of rate of
change of level
Page 58 This penalty does not go on
increasing as the L10-L90
increases, but „bottoms out‟ above
L10-L90 greater than about 6dB.
There is a transition region for
L10-L90 of between 4 and 6dB
where the penalty varies on a
sliding scale between 0 and 5dB
(as marked in dotted lines).
This penalty does not go on
increasing as the L10-L90 increases,
but „bottoms out‟ above L10-L90
greater than about 4 dB. There is a
transition region where the penalty
varies on a sliding scale between 0
and 5dB (as marked in dotted
lines).
Page 58 L10-L90<5: no penalty
L10-L90≥5: penalty of 5dB.
L10-L90<4: no penalty
L10-L90≥4: penalty of 5dB.
Pages 59-
63
Changes in text for consistency
with the above
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CONTENTS SUMMARY ................................................................................................................... 3
INTRODUCTION ......................................................................................................... 4
Aim .................................................................................................................... 6
Review of existing criteria ................................................................................. 6
Sweden ................................................................................................... 6
Denmark ................................................................................................. 7
Netherlands ............................................................................................ 8
Germany ................................................................................................. 8
Poland .................................................................................................... 8
Comparison of national methods ........................................................... 9
Research Methodology .................................................................................... 12
FIELD STUDIES ......................................................................................................... 13
Details of the tests ............................................................................................ 13
Selection of case studies ...................................................................... 13
Measurement setup .............................................................................. 14
Equipment ............................................................................................ 14
Instructions to participants ................................................................... 14
Interviews ......................................................................................................... 15
Current and previous occupations ........................................................ 15
Current and previous address ............................................................... 16
Respondent‟s routine ........................................................................... 16
Health ................................................................................................... 17
Details of other people who hear the LFN ........................................... 19
Previous addresses ............................................................................... 19
Location of noise in and around the property ...................................... 19
Noise descriptions ................................................................................ 20
Sources of LFN .................................................................................... 20
Exposure to LFN .................................................................................. 20
Ambient noise level in home – expectation and control ...................... 21
Subjective reaction ............................................................................... 21
Noise avoidance ................................................................................... 21
General comments on interviews ......................................................... 22
Measurement results and analysis .................................................................... 22
Case 20 ................................................................................................. 23
Case 2 ................................................................................................... 28
General comments on field studies .................................................................. 34
LABORATORY TESTS ............................................................................................. 36
Objectives of the tests ...................................................................................... 36
Overall methodology for laboratory tests ........................................................ 36
Details of the tests ............................................................................................ 37
Selection of sounds .............................................................................. 37
Choice of subjects ................................................................................ 40
Length of the tests ................................................................................ 41
Listening room test setup ..................................................................... 42
Calibration of the listening room ......................................................... 43
Audiometric tests ................................................................................. 43
Test procedure ...................................................................................... 44
Laboratory test results ...................................................................................... 44
Low frequency hearing thresholds ....................................................... 44
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Threshold of acceptability for pure tones ............................................ 46
Threshold of acceptability for real sounds ........................................... 49
Threshold of acceptability for „beating‟ tones ..................................... 53
Evaluation of fluctuations ................................................................................ 55
Fluctuation strength ............................................................................. 55
Standard deviation of sound pressure level ......................................... 55
„Prominence‟ ........................................................................................ 57
Conclusions from laboratory tests ................................................................... 59
CONCLUDING REMARKS ....................................................................................... 60
Proposed criteria and procedure for assessing low frequency noise ................ 63
REFERENCES ............................................................................................................ 64
ACKNOWLEDGEMENTS ......................................................................................... 65
APPENDIX: SUMMARY OF RESULTS FROM FIELD STUDIES ........................ 66
Case 5 ........................................................................................................................... 66
Case 6 ........................................................................................................................... 70
Case 7 ........................................................................................................................... 74
Case 8 ........................................................................................................................... 78
Case 13 ......................................................................................................................... 82
Case 16 ......................................................................................................................... 86
Case 18 ......................................................................................................................... 93
Case 19 ......................................................................................................................... 98
Case 19a ..................................................................................................................... 102
Control Case 1 ............................................................................................................ 106
Control Case 3 ............................................................................................................ 110
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SUMMARY The aim of this study is to recommend a method for assessing low frequency noise
(LFN), suitable for use by Environmental Health Officers (EHOs) in the UK. A
general introduction to LFN is given, in which it is argued that a method of
assessment is needed both from the sufferer‟s point of view, because there is currently
not much to protect them against LFN, and from the Environmental Health Officer‟s
point of view, where guidance is needed in determining whether a nuisance exists.
Criteria already in use in Germany, Sweden, Denmark, the Netherlands and Poland
were reviewed and compared. Experience from these countries in applying the criteria
was also reviewed, and was found to be generally positive.
A complementary set of field and laboratory studies was conducted in order to
establish the best form for an assessment method. In the field studies, eleven cases of
reported LFN were investigated, as well as five control cases where no complaints
about LFN had been received. Analysis of recordings made over three to five days at
each location distinguished three groupings: positively identified LFN, unidentified,
and marginal. Three cases were positively identified, meaning that the various
national criteria were exceeded and there was correlation between the resident‟s
logged comments and the LFN level. Five cases were unidentified: the criteria were
generally not exceeded, (except perhaps by traffic noise), and there was a lack of
correlation between comments and noise levels. Three cases were marginal in that the
LFN was marginal with respect to the criteria and did not correlate with comments. It
was concluded that the criteria were successful at distinguishing cases where an
engineering solution could be applied from those where no such solution could be
found.
In the laboratory tests, a set of „thresholds of acceptability‟ were established by asking
18 subjects to set the level of various low frequency sounds to a just-acceptable level
for imagined day and night situations. The sounds presented consisted of a set of tones
across the low frequency range, „real‟ LFN extracted from field test recordings, and
synthesised beating tones with varying degrees of fluctuation. LFN sufferers were
found to be the least sensitive group in absolute terms, contrary to the common image
of ultra-sensitive individuals. In relative terms however, they were the most sensitive
group in that they set acceptability thresholds closer to their threshold of hearing.
From the existing national reference curves, the Swedish curve showed the best
agreement with the results. It was also demonstrated that fluctuating sounds are less
acceptable than steady sounds for the same average acoustic energy and should be
penalised. Furthermore, it was shown that 5dB is an appropriate penalty almost
irrespective of the degree of fluctuation above a limiting value.
A method for assessing LFN suitable for use by EHOs is proposed. This consists of a
reference curve based on 5dB below the ISO 226 (2003) average threshold of
audibility for steady sounds, plus a means to establish whether a 5dB relaxation for
steady sounds should be applied. It is expected that this will benefit EHOs by helping
to identify cases where they are able to improve the situation by enforcing noise
control measures. It is also expected that in a significant proportion of LFN cases it
will not be possible to identify a „hardware‟ solution. Consequently, it is suggested
that further research be conducted into alternative solutions.
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INTRODUCTION In this section is given a brief introduction to the problem of low frequency noise
(LFN). There is no need for more than a brief introduction since a comprehensive
review was recently completed by Dr Geoff Leventhall et al. as part of a Defra funded
project [Le03].
Low frequency noise is now a recognised problem in many countries in the world.
Experience has been accumulating over more than 30 years, as a result of which a
picture has built up of typical situations where disturbance occurs. A relatively small
number of people are affected, but those who are tend to suffer severe distress. In
most situations, only a single sufferer, or perhaps a couple living in the same property
are affected. Occasionally, a cluster of complaints arises in a particular area, although
typically only a small proportion of people living in the area will report problems.
Although this picture is now becoming reasonably well-formed, this does not mean
that the causes of such suffering is fully understood, and many cases still go
unexplained.
There is a highly consistent vocabulary used by complainants, who may describe for
example “pressure on the ears” or a sound like “a diesel engine idling in the distance”.
Complainants frequently describe a sound that is intense, even deafening to them,
while many visitors to their home may be unable to hear it. It is common that they
also report a sensory perception of vibration (see for example [Mo02]) not perceived
by others. Visitors typically include local Environmental Health Officers (EHOs, who
have a statutory duty to prevent noise nuisance), water, gas and electric utilities, and
others. This discrepancy between how the sufferer and other people perceive the
sound can be one of the most baffling aspects of low frequency noise, and can leave
the sufferer increasingly isolated and confused. Many times a complete breakdown in
communications has occurred, the EHO being convinced that the complainant was
suffering from tinnitus1, and the sufferer equally convinced that the EHO was in
collusion with whoever was thought to be causing the noise.
Nowadays, thanks to an increasing number of documented cases, there is more
recognition of such cases, and a better understanding of how such situations could
occur. Fewer sufferers are misdiagnosed as having tinnitus and the knowledge that
other people around the world are involved in similar situations can be reassuring to
both the sufferer and the EHO.
How is it that one person could describe a sound as loud while another cannot even
hear the same sound? One possible explanation is based on the way the human
hearing system operates at low frequency. The perceived loudness of low frequency
sounds increases very rapidly with increasing acoustic energy. Therefore, low
frequency sounds only just above the threshold of hearing2 can be perceived as loud,
even uncomfortably loud. Added to this is the fact that individual hearing thresholds
1 Tinnitus: ringing in the ears which can occur when there is no external sound present
2 Threshold of hearing: the level of the lowest sound that can be heard. This varies with the pitch or
„frequency‟ of the sound, the human ear being less sensitive at low frequency than at mid and high
frequency.
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vary, so that people with more sensitive hearing can hear sounds inaudible to others.
Putting these two facts together we may find a situation where a low frequency sound
is above one person‟s threshold, enough to sound relatively loud, whereas another
person with less sensitive hearing cannot hear it. This situation does not arise with
most other (not low frequency) sounds, because their perceived loudness increases
much more slowly with increased acoustic energy. In other words „normal‟ sounds
need to have very much more acoustic energy than the hearing threshold before they
become uncomfortably loud. The experience of low frequency sound can therefore be
„counterintuitive‟, i.e. it may contradict our more usual experience of sound.
This by no means explains all cases. However, an appreciation of the above subtleties
is extremely important because the counterintuitive nature of low frequency sound
makes it difficult to base accurate judgements on personal experience. Therefore, the
more widely understood these ideas are the better.
An additional factor is that „sensitisation‟ to low frequency sound often occurs over
time, leaving the sufferer more aware of the sound and unable to shut it out or get
used to it. Instead, the sound may grow in importance until it can become all-
consuming. It is not fully understood why, but this effect tends to happen more with
low frequency sounds than other sounds. Therefore, a brief visit to a property affected
by low frequency noise does not always give an adequate impression of what it is like
to live with the sound, making evaluation even more difficult.
The preceding paragraphs give the idea that the effect of low frequency sound is
different in several ways to other types of sound. Although the number of cases is
only a small fraction of total noise complaints, the distress suffered can be
disproportionately severe. It is not uncommon for sufferers to sleep in a garden shed,
a garage, a car or a hotel to escape the noise. Some move if they can. Complainants
frequently describe loss of sleep and in the worst cases can contemplate suicide.
From the EHO‟s point of view, low frequency noise problems can take up a
disproportionate amount of time and resources. They are notoriously difficult to tackle
even for specialists with long experience of this type of problem and with good
equipment. Added to this, not all acoustic instruments used by local authorities are
suitable for low frequency noise evaluation since the vast majority of noise cases do
not need a low frequency capability. Unfortunately many cases end up with a
breakdown in communications between the EHO, who often goes to a great deal of
trouble on the sufferer‟s behalf but is unable to detect the source of the problem, and
the sufferer, who is convinced the EHO is doing nothing.
The success rate of solved cases is not high, and unsolved cases tend to remain „open‟
for a long period, often several years. This is unsatisfactory both for the EHO, to
whom such cases can become an open-ended burden on resources, and the sufferer,
who may be left in a state of expectation but with no real prospect of a solution.
Sadly, a relatively high proportion of such cases end up with an investigation by the
Ombudsman, which puts both sides under a great deal of stress but rarely leads to a
satisfactory solution.
Even when the local authority is convinced there is a statutory nuisance and is able to
locate the source (they can only serve a notice if they know who is causing the
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problem) they are often reluctant to take the case to court. This is because there is a
lack of authoritative guidance to support their case, and without such support the case
is not at all certain to be successful. For this reason, local authorities have been known
to find some other, less controversial grounds for serving a notice rather than base
their case on the uncertain legal territory of low frequency noise. Therefore, the
current situation is that local authorities need considerable resolve and, one might
even say, some courage to consider a prosecution for low frequency noise.
From the above, it is clear that some authoritative guidance would benefit both the
sufferer and the investigating EHO. This is needed both to help the EHO to identify
genuine problems more quickly and to support enforcement when a nuisance exists.
Aim
Hence, we come to the aim of this report, which is to recommend a method for
assessing low frequency noise, suitable for use by Environmental Health Officers in
the UK.
It is most important that any such method is fair. If noise limits are set too high then a
proportion of the population is not protected, and if set too low then an unfair burden
is placed on industry (in cases where sources of low frequency noise can be identified
they are usually industrial). In view of the well-known technical difficulties in
assessing and evaluating low frequency noise, as well as the complexity of human
reaction to sounds, this is not a simple task and needs to be done with considerable
care.
The guidance is intended to cover low frequency noise from industrial, commercial
and domestic sources, in particular rotating machinery but also including for example
combustion noise and turbulence. Music noise is not included.
Review of existing criteria
In pursuing the aim of the project, we can take into account the growing body of
experience about low frequency noise. Of particular relevance is the experience from
other countries where low frequency noise criteria have been adopted. Therefore, the
relevant authorities in countries with existing criteria were followed up in order to
evaluate their experience. In this section is given a brief review of existing criteria,
plus a summary of the reported experience from countries using them. Full
discussions of the criteria are also given in references [Le03] and [Po03].
Sweden
The Swedish guidelines state that low frequency noise should be assessed by third
octave band measurements in the range 31.5-200Hz. The sound pressure levels given
in Table 1 and Figure 1 should not be exceeded in any third octave band.
A survey of local authorities in Sweden was carried out recently and it was
ascertained that 62% of local authorities found the method to be better or much better
than the previous method. Of the remainder, 35% said they did not know, and in most
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of these cases this was because they did not have the equipment needed to follow the
procedures. Only one local authority (3% of the sample) said they thought the method
was worse than the previous method. The positive response was received despite the
fact that the method is more difficult to apply than the previous method, more time
consuming and requires greater competence and equipment. This indicates that EHOs
(at least in Sweden) see the extra effort involved in the assessment as a worthwhile
investment.
Denmark
In the Danish method sound measurements are taken at several positions throughout
the property in the low frequency third octave bands (see [Po03] or [Le03] for a
description). Only the low frequency bands from 10-160Hz are included which, in a
normal A weighted measurement, tend to be de-emphasised and dominated by higher
frequencies. The measured third octave band values are then A-weighted and summed
together to give a low frequency, A-weighted level, LFpAL , . This value is then
compared with limit values given below. There is no reference curve as such in the
Danish method, but it can be compared with other criteria by assuming that the sound
is all concentrated in one third octave band. This gives the values given in Figure
1and Table 1. In practice this extreme situation does not arise, so although this
assumption allows us to compare with other criteria it gives values that are artificially
high. Another feature of the Danish method that differs from the approach in other
countries is that it specifies a 5dB penalty for impulsive sounds.
Maximum acceptable levels for LFpAL , are specified for certain areas:
Dwellings evening/night (18h-07h) 20dB
Dwellings day (07h-18h) 25dB
Offices/ teaching rooms 30dB
Other work rooms 35dB
Experience from the Danish Environmental Protection Agency indicates that the
limits are rarely exceeded, but when they are, the Local Authority is usually able to
locate the premises responsible for causing the noise and serve a notice or otherwise
regulate the situation. These guidelines are not considered to be entirely satisfactory
as they are relatively complicated for the EHOs to apply. Although there is little
quantitative information on whether the limits are set at the right level the general
feeling is that they are set are „close to OK‟.
A report by Sorensen [So01] suggested that the 20dB limit for LFpAL , was strict if the
noise was at the lower end of the range, i.e. 10-30Hz and unconservative for sounds at
the higher end, i.e. around 160Hz. This was for multi-tone spectra as are often found
with reciprocating engines in power plants, but is based on only two case studies and
is not intended to give a firm, general conclusion.
A separate criterion for infrasound also applies in Denmark, although cases of
infrasound are reportedly extremely rare. When the infrasound limits are exceeded
then low frequency limits are often also exceeded at the same time. The low
frequency limits are therefore seen as more important, whereas infrasound is not seen
as an important environmental concern in Denmark.
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Netherlands
This method is intended to determine whether suspected LFN is audible or not, rather
than whether it should be classed as a nuisance [vB99a]. Audibility is based on
hearing thresholds for the 10% most sensitive people in an otologically unselected
population aged 50-60 years. These 10% thresholds are typically about 4-5dB lower
than the average threshold for otologically normal young adults (18-25 years) as given
in ISO226 [IS03].
Experience of the guidelines is generally positive. Consultants and EHOs are
generally aware of them and use them to assess potential problems. It is reported that
in not all cases where complaints occur is the threshold exceeded, and even in some of
these cases there is not a clear correlation between the reported disturbance and the
presence of the source. Arguably they are too low, because most complainants have a
higher hearing threshold than that given in the limits, but this has not been
systematically evaluated. Other investigators are more confident that the Dutch levels
are neither too low nor too high.
Germany
In the German method [DI97], a simple preliminary measurement is recommended in
order to determine whether the problem should be investigated further. If the
difference dBC-dBA is greater than 20dB then third octave band measurements
should be taken. The third octave readings are then compared with the values given in
Figure 1 and Table 1. (The values in Table 1 and Figure 1 are equal to the reference
curve up to 63Hz, but include corrections of +5dB at 80Hz, and +10dB at 100Hz.
These are the amounts by which the reference curve may be exceeded by tonal
sounds, so they have been added in the table to ease comparison). Different
procedures apply if the noise is tonal or not. The noise is said to be tonal if the level in
third octave band exceeds the levels in the two neighbouring bands by more than 5dB.
A tonal noise that exceeds the values in Figure 1and Table 1 at night time is
considered to be a nuisance. A 5dB increase in all bands is allowed for day time
exposure.
If the noise is not tonal then a day time limit of 35dB is imposed on the A weighted
equivalent level (10Hz-100Hz), where the A weighting is obtained by only using the
third octave bands for which the threshold is exceeded. The night time limit is 25dB.
The analysis required is therefore relatively involved for the non-tonal sounds.
Poland
The Polish method [Mi01] uses a reference curve defined over the range 10-250Hz,
and denoted LA10 because at each frequency it has the value equal to a pure tone of
10dBA. It is shown in Table 1and Figure 1 and is the lowest of all the curves at 50Hz
and below, and is also below the hearing thresholds as defined in ISO226 [IS03]. Low
frequency noise is considered annoying when the sound pressure levels exceed the
reference curve and simultaneously exceed the background noise level by more than
10dB for tonal noise and 6dB for broadband noise.
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Although it may seem excessive to set a reference curve below the threshold of
hearing, this was justified [Mi01] on the basis that subjects in a laboratory test could
hear combinations of tones at lower levels than they could pure tones. Since the
published thresholds are based on pure tones it was argued that LFN consisting of
multi-tones (which it commonly does) may be audible at levels below the published
threshold. However, this argument has not been incorporated explicitly in other
national guidelines.
Comparison of national methods
The various reference curves are shown in Table 1 and Figure 1. Note that the Danish
curve, is applied in a different way to the others, so it is not strictly correct to compare
on a frequency by frequency basis. The impression that it is higher than other curves
is therefore slightly misleading from the figure. Also, the Polish curve, which appears
lower than others, is to be applied with an extra condition on background noise, and
for this reason is closer to the other curves than appears. The Netherlands curve is
intended only to predict audibility rather than acceptability, and so is lower.
Therefore, the national reference curves actually show more agreement than appears
from Figure 1and Table 1.
There are differences in the frequency range covered by the various curves. The
lowest frequency is set at 10Hz in the Danish, Polish and German methods, although
the German method includes an optional extension down to 8Hz. The Dutch and
Swedish methods start at 20Hz and 31.5Hz respectively. Thus, there is not complete
agreement on the lowest frequency that should be included. At the high end of the
range, the German and Dutch methods stop at 100Hz, whilst the Danish, Swedish and
Polish methods end at 160, 200 and 250Hz respectively. However, all the reference
curves rise away from the threshold of hearing above 63Hz, so that the bands at the
top of the range are significantly de-emphasised. Therefore, in effect there is more
agreement than appears in that all methods give most importance to frequencies up to
100Hz.
In terms of the levels of the curves, there is almost complete agreement that sounds
should be inaudible between 31 and 50Hz (a range where many reported problems
occur). However, there are some differences in the interpretation of audible.
A review of the various national criteria was recently carried out by Poulsen [Po03].
He played various sounds to subjects in a laboratory and carried out an analysis to
find which of the methods was the best predictor of their adverse reactions. He found
that the best correlation was obtained for the Danish method, closely followed by the
Swedish method. The Danish method was superior only when it came to evaluating
impulsive noise such as from music. In this respect the Danish method includes a
penalty of 5dB for impulsive sounds but there was no objective indication of when
this should be applied. Since music noise is not included in this investigation the
Swedish method can therefore be considered to be as good. The German non-tonal
method also worked well.
In terms of ease of use, the methods requiring third octave band values to be summed
(Danish, and German broad band method) are more difficult to apply. The summing
operation itself is fairly straightforward and could be handled by the majority of
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EHOs. However, the disadvantage is that this cannot easily be done in real time on
site. This means the EHO evaluating the noise will not be able to get a feel for the
problem by making a quick assessment on site. This is actually quite an important
consideration since LFN problems are relatively uncommon, and EHOs often lack
confidence in their assessments due to lack of experience. For these reasons, methods
that specify a maximum third octave band value are preferred, because the
investigator can see what is going on more quickly.
The Polish method is the only one to require an assessment of the background noise.
This makes good scientific sense since it is often the case that background noise, e.g.
from traffic, is dominant in the higher frequency bands (between 100 and 200Hz).
Therefore, requiring the offending noise to be above background noise is a sensible
way to avoid a false classification of a normal background noise as a problem low
frequency. The drawback is that in practical situations it will rarely be possible to
measure the background noise. This is because for a background noise measurement it
is necessary to switch off the source being investigated. However, in a high proportion
of LFN cases the source is not known. Indeed, one of the purposes of an assessment
method would be to help to identify the source by narrowing down the problem to a
particular frequency band. For these reasons the Polish approach of including
background noise, although logically sound, is unlikely to be as useful to EHOs as
other simpler methods.
Compared with other environmental noise standards it may initially seem too stringent
to require levels of low frequency noise to be reduced to around the threshold of
hearing. However, there is a growing experience that such low limits are needed to
provide adequate protection from LFN. This is because of the strong reactions and the
apparent difficulty in habituating to LFN. The fact that all national criteria (with the
possible exception of the Danish one) are set at or below average hearing thresholds
gives strong support to this idea. It should be remembered that the standard threshold
is the median i.e., 50% of people are less sensitive and 50% are more sensitive. The
standard deviation of the experimental subjects tends to be around 6dB. Thus, about
16% of people have a threshold which is 6dB or more lower than the median, which
includes about 2% who have a threshold which is 12dB or more lower.
To summarise, on the basis of experience, the Swedish, Danish and Dutch (audibility)
methods appear to have all been positively received. On the basis of a laboratory
investigation the Danish, Swedish and German (non-tonal) methods were the best
predictors of annoyance. From the point of view of ease of use the Swedish, Dutch
and German (tonal) methods are most advantageous.
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Hz Germany Denmark Sweden Poland Netherlands ISO threshold
8 103
10 95 90.4 80.4
12.5 87 83.4 73.4
16 79 76.7 66.7
20 71 70.5 60.5 74 78.5
25 63 64.7 54.7 64 68.7
31.5 55.5 59.4 56 49.3 55 59.5
40 48 54.6 49 44.6 46 51.1
50 40.5 50.2 43 40.2 39 44
63 33.5 46.2 41.5 36.2 33 37.5
80 33 42.5 40 32.5 27 31.5
100 33.5 39.1 38 29.1 22 26.5
125 36.1 36 26.1 22.1
160 33.4 34 23.4 17.9
200 32 20.9 14.4
250 18.6 11.4
Table 1: Reference curves used in the various national criteria, together with ISO threshold
Reference curves used in the various national criteria compared with ISO
threshold
0
20
40
60
80
100
120
8 10 12.5 16 20 25 31.5 40 50 63 80 100 125 160 200 250
Third octave band centre frequency, Hz
Level d
iffe
ren
ce, d
B
Germany Denmark Sweden
Poland Netherlands ISO threshold
Figure 1
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Research Methodology
From the above discussion it appears that a useful criterion can be based on a
reference curve giving acceptable levels of sound at third octave band frequencies in
the low frequency range. Some objective method to assess the effect of fluctuations,
which appear to increase adverse reaction, would also be advantageous.
The form of the reference curve has been discussed above. Most existing curves are
based on thresholds of audibility, which have been established for many subjects over
many years, and provides us with the most comprehensive and reliable data about
hearing in the low frequency range. Regarding fluctuations, there is much less data
available. It is not possible to determine the effect of fluctuations through field
studies; for one thing it would not be practicable to survey enough cases, and for
another, there is too much variation between field studies, including the personal
situation of the subjects, the length of exposure and the character of the sound. To
establish the effect of fluctuations we need to measure the reactions of several people
to the same sound, and this can best be done by setting up tests in the laboratory.
There are limitations in laboratory testing of low frequency noise. In particular, the
disturbance in the field often includes an element of „sensitisation‟ to exposure over
extended time, and this factor cannot be reproduced in the laboratory. Nevertheless,
the annoyance of a sound can be judged by most subjects after a few minutes
exposure [Le03], so despite this limitation, laboratory testing is a well-established
technique.
To summarise: in view of possible sensitisation over time, the only true test of a
criterion is in real situations, but the only way to establish the effect of fluctuations is
through laboratory testing. Therefore, the research methodology chosen is a
combination of field and laboratory testing which are described in the following two
sections.
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FIELD STUDIES The overall aim of the field studies is to provide support in the way of field data for a
proposed criterion. Specifically this involved collecting data with which to test
proposed criteria, and to provide audio recordings for use in the laboratory tests.
Human reaction to sound is known to be dependent not just on the sound itself, but a
complex array of other factors like personal associations of the sound. Therefore, in
each field study the sound measurements were supported by questionnaires to
determine whether sociological or other factors might influence the results.
Details of the tests
Selection of case studies
Cases were solicited through Environmental Health Departments by circular letter,
and by specific approaches to Local Authorities known to have a problem in their
area. More than forty cases were evaluated. EHOs who offered cases were approached
by phone and asked for a detailed description of the case. In some cases it was also
appropriate to approach the complainant at this stage. A few cases also came in by
word of mouth directly from sufferers.
Cases where several complaints occurred in a cluster were selected in preference over
those where a single complainant lived alone. This was because it is easier to justify
the complaints as reasonable if there are more than one. Also, it is well-known that
„mystery‟ cases often arise where no problem can be identified from recordings, and it
was thought that selecting clusters would help to avoid such cases.
Cases where there was a long history to the problem, particularly if there had been
modifications to a noise source during that time, were generally avoided. This is
because such cases can become overlaid with complications that make it more
difficult to know if the responses are purely due to the noise. For example, a number
of cases were received in which a low frequency noise source had been identified and
noise control work had been carried out to the satisfaction of most residents, but
where a smaller number had continued to complain afterwards. One possible cause of
this is that the complainants had become sensitised whilst the noise was present.
Whilst such sensitisation is a genuine part of low frequency noise cases, it becomes
more difficult to classify the response as typical and so stronger conclusions could be
obtained by excluding such cases.
Cases where the complainant was felt to be reasonably objective and perceptive in
their judgement of the sound were selected where possible.
EHOs and sufferers alike were generally keen to participate. Both groups were told
that we were not intending to solve their particular problem, but rather to contribute to
improved methods of evaluation in general. We adopted a policy that data collected
would not be released to either party, since this could have caused political
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complications. Whilst all were generally anxious to solve their problem (which in
most cases had defied resolution), they were generally happy to participate on the
grounds that the results might help others in the future. Participants, both EHOs and
sufferers, were generally extremely co-operative and helpful.
Measurement setup
Although the majority of environmental noise standards specify that sound
measurements should be conducted outside, it is now generally agreed that low
frequency noise can only meaningfully be evaluated inside. All national standards
specify indoor measurements. Therefore, all measurements were carried out inside
complainants‟ homes.
A single microphone was positioned at a point in the room where the sufferer
indicated the sound was present. In most cases an unoccupied room was used. In two
cases an unoccupied bedroom was not available, so an occupied room was used,
although this was avoided if at all possible. In order to minimise data storage,
recordings were taken only when the sufferer said the noise was at its worst. In all
cases the noise, although usually present during the day, was reported worst at night.
Therefore, recordings were usually made between 21h00 and 09h00 when interference
from other sources is reduced. In some cases, at the request of the resident, recordings
were also made during the day. However, the most valuable recordings were all from
the night time period due to minimum interference from other sources. The equipment
was left to monitor unmanned for between 3 and 5 days.
Equipment
Measurements were taken using 01dB Symphonie systems. The signal from the single
microphone was simultaneously captured on two data channels which enabled all the
required parameters (dBA, dBC, third octave band levels and audio) to be monitored
simultaneously. The microphone and measurement chain were calibrated down to 1Hz
against a traceable standard in the UKAS accredited Calibration Laboratory at Salford
University immediately prior to the tests. In each location audio recording plus a wide
range of indicators, including one third octave band levels down to 1Hz were taken.
Data was streamed directly to hard disk and subsequently downloaded to DVD disks
for archiving.
Instructions to participants
Subjects were asked to complete a log sheet (see Figure 2) giving comments on how
they perceived the sound at particular times.
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Please complete the following log sheet filling in the date and time when you hear the
noise being studied, rating the noise along the scale from „Not at all disturbing‟ to
„Intolerable‟ and adding any other comment you feel may be important. It is useful to
us to have information about when you are not disturbed as well as when you are.
Please use as many sheets as necessary.
Date and Time Rating (please place a tick along the line) Comments
Not at all
disturbing Intolerable |----|-----|-----|-----|-----|-----|-----|-----|
Figure 2: Log sheet given to subjects in the field studies
The terms „disturbing‟ and „intolerable‟ were used deliberately. Most studies of
environmental noise use the term „annoyance‟ to judge the severity of the response.
However, the descriptions and vocabulary used by low frequency noise sufferers does
not generally suggest that „annoyance‟ is their main concern about the LFN. The term
„disturbing‟ is considered to represent the response of a typical sufferer more
accurately and so was used on the log sheets. Again, the term „intolerable‟ was used
deliberately to help identify periods of extreme, unacceptable exposure, as perceived
by the sufferer, from the recordings.
Interviews
In addition to making physical recordings of the sounds within complainants‟
residences it was necessary to obtain a significant amount of personal data about the
individuals themselves. This was important in order to obtain an overview of the
background to the LFN complaint that might have a bearing on the responses. Details
were collected about each individual‟s residential and occupational histories, their
general health, details of the noise they are exposed to, suspected sources of the noise,
effects of the noise on themselves and their health, and any measures they have taken
to cope with or avoid the noise.
Using a comprehensive one-to-one structured interview schedule we obtained detailed
personal information from 12 LFN sufferers. All 12 sufferers answered all questions
without hesitation and were forthcoming and open when answering questions relating
to their general and mental health and when providing detailed information about their
noise problem. This section reports on the specific questions asked and the
information obtained.
Current and previous occupations
Details of current and previous occupations were gathered in order to determine
whether people had a work-related exposure to LFN. This could be relevant if
theories of sensitisation to LFN are verified. Additionally, it was important to
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establish whether there was any employment-related connection to the main suspected
source of the LFN.
Only one complainant reported any previous work-related exposure to LFN and had
worked in the industrial works section at British Rail for 28 years since an
apprenticeship over 40 years ago. This had entailed exposure to heavy drop forges,
pneumatic air guns and general industrial machinery noise. This complainant made
some earmuffs as nothing was provided at the time. No other complainants reported
working in environments that could be considered likely to expose them to LFN.
None of the complainants named a previous employer as the likely suspect of the LFN
to which they are exposed.
Current and previous address
Details of current and previous addresses were gathered in order to determine how
long complainants had resided at their current address and whether their residence
predated exposure to LFN. Additionally, it enabled clarification to be sought on
health related matters in later questions.
Two complainants stated that the LFN was detectable when they first moved into their
house but all others had many years of no exposure prior to the onset of the problem.
This ranged from 4 ½ years to 38 years.
Respondent’s routine
Details of daily routines were collected in order to determine when the house was
busiest and quietest. Given that recording equipment was placed in the home for up
to 7 days it was necessary to determine when quality recordings might be obtained.
Knowing bedtimes and waking times enabled the recording devices to be set to record
at appropriate times.
Determining what woke the complainant during the night was important to determine
the amount of sleep deprivation associated with exposure to LFN. In some cases it
was not the noise that awoke the complainant but subsequent awareness of it
prevented them returning to sleep. Asking what the complainant did when wakened
in the night was to determine whether any additional coping strategies were employed
at that time. Later in the report we discuss the main coping strategies used by
complainants not just those employed in the night-time.
All bar one respondent wakes during the night and 75% of all respondents claim it is
the noise that wakes them. Over half of complainants get up and walk about when
they wake up and a quarter look around the house or out the window to try to
determine the source of the noise that has disturbed them. Other activities include
putting on the television, using the bathroom, making a drink, taking a sleeping tablet
or putting in earplugs. A third of all respondents sometimes just lie in bed listening to
the noise without taking any other action, although they may take action on other
nights.
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Health
Complainants were asked personal questions about their general health to help
determine what health related problems they suffered from. Initially, at the beginning
of the interview, complainants were asked to self-report symptoms they suffered from,
both related to and unrelated to the LFN problem, to give them the opportunity to list
what they considered the most significant health issues in their lives.
In order to determine whether complainants might have a hearing problem they were
asked whether they had ever had their hearing tested, how long ago this took place,
and the outcome. They were also asked whether they were satisfied with the
outcome. This was done in order to rule out hearing problems as a cause of the
problem. Not every complainant had had a recent hearing test done. Complainants
were also asked if they had ever suffered from tinnitus.
A quarter of complainants said they had known hearing problems. One had a 60%
hearing loss in one ear with the other ear normal. Another had age-related hearing
loss with a loss in the higher frequencies, and one had a blockage due to sinusitis
which produced a whistling in the ear.
Half of complainants had never had a hearing test and only 2 had had one within the
previous year.
All knew what tinnitus was when asked whether they had suffered from it. All bar
one said they had never suffered from it and one said they were not sure as they did
sometimes get a whistling in their ear. This was attributed to sinusitis.
Finally a list of other symptoms was read out to the complainant and they were asked
to state whether they suffered from any of them. It was made clear that they should
say whether they suffered from the symptom whether or not they attributed it to
exposure to LFN. The list of symptoms was obtained from the published literature on
LFN exposure with particular reference to Leventhall (2003) [Le03].
Respondents who practiced successful coping strategies were asked to report health
problems at the time when the noise was at its worst. Our intention was to obtain a
list of symptoms experienced by sufferers although we do not have sufficient data or
expertise to determine aetiology. Further research in this area is required.
The table below shows the results of this line of inquiry listed in the order in which
the questions were asked. 92% of complainants suffer from sleep disturbance, 83%
suffer from stress and 67% have difficult falling asleep. 42% suffer from insomnia
and 33% from depression. 33% suffer from palpitations although none claim to have
heart ailments. 58% suffer from headaches and 25% from migraines. 42% have high
blood pressure. Perhaps most seriously, 17% have felt suicidal.
Health
Number of respondents
Percentage of respondents
Tinnitus *1 8%
Stress 10 83%
Loss of concentration 6 50%
Sleep disturbance 11 92%
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Difficulty falling asleep 8 67%
Frequent irritation 5 42%
Nausea 1 8%
Nervousness 6 50%
Insomnia 5 42%
Chronic fatigue 2 17%
Anxiety 8 67%
Frustration 9 75%
Depression 4 33%
Indecision 1 8%
Tiredness 7 58%
Exhaustion 3 25%
Dizziness 2 17%
Sinusitis 3 25%
Glaucoma 0 0%
Pressure or pain in ear or body 7 58%
Body vibration or pain 6 50%
Palpitations 4 33%
Heart ailments 0 0%
Frequent ear vibration 2 17%
Eye ball or other pressure 3 25%
Pains in neck 5 42%
Backache 2 17%
Migraine 3 25%
Headaches 7 58%
Subdued sensation 1 8%
Shortness of breath 2 17%
Abdominal symptoms 3 25%
Shallow breathing 3 25%
Chest trembling 1 8%
Hypertension 5 42%
Stitch 1 8%
Difficulty reading 4 33%
Difficulty watching tv 4 33%
Difficult listening to radio 1 8%
Head injury 2 17%
Dental disease / surgery 5 42%
Eye surgery 0 0%
Suicidal 2 17%
* respondent attributed whistling in ear to sinusitis rather than tinnitus
Table 2: Numbers of respondents reporting various symptoms
The list of health questions included details of surgery and dental treatment undergone
in order to identify any possibility that symptoms may be related to head injuries or
dental surgery. 42% of complainants mentioned some form of dental surgery the
most invasive of which was root canal treatment received by one individual. The
other reports refer to tooth extraction, dentures and crowns. Two individuals reported
head injuries and these can both be discounted as sources of noise complaints. One
head injury was whiplash from an accident a year previously (this respondent has
suffered from LFN for 14 years), the other was from collapsing two years previously
due to an incorrectly prescribed dosage of medication which resulted in requiring
stitches across the head (this respondent has suffered from LFN for 5 years).
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Details of other people who hear the LFN
Sufferers were asked about anyone else who heard the LFN to which they were
exposed as previous research has shown that LFN may be detectable by some people
and undetectable by others. All of our sufferers reported that other people had heard
their noise but that not everyone who came to their residence was able to hear it.
Overall a wide mixture of „others‟ could hear the noises including family, neighbours,
friends and other visitors to the house. Many also reported people saying that they
thought they could live with the noise – i.e. it didn‟t bother them as much as it did the
complainant.
Further to this we asked whether the noise annoyed every person who heard the noise
equally. This was in order to determine whether people had their own explanations or
theories about why they were bothered but others were not. Responses to this
included observations about other people being too busy to be bothered by it, having
more going on in their homes (family, children, loud music etc), and worrying about
the value of their home if they made a complaint and then couldn‟t sell their property.
Other people wondered whether they were more sensitive to LFN than others or
whether they were simply able to hear sounds at lower frequencies than other people.
Previous addresses
Sufferers were asked whether they had experienced similar LFN problems at their
previous address (even if this was a very long time ago) or at any time in the past
prior to the onset of the complaint in question. Our intention was to find out whether
they had been bothered by LFN when they were younger, although a negative
response to this question does not signify that younger people do not detect LFN.
Two complainants stated that they had had similar noise problems at previous
addresses. One of these was related to traffic noise, which caused the windows to
vibrate causing a hum. This was rectified with secondary glazing. The other was
attributed to living amongst factories and the complainant expected to hear noise at
that location.
Additionally complainants were asked whether their sleeping patterns were the same
at their previous address in order to see whether their current pattern was a constant
throughout their life. This question elicited more discussion of changes in lifestyles
and work patterns than answers related to LFN.
Location of noise in and around the property
Details of where in the property the sufferer heard the noise were gathered in order to
determine the best location to leave the recording equipment. Knowing whether the
noise was more detectable in particular positions in rooms enabled a more precise
location to be found, thus allowing the best obtainable recording.
Complainants were asked whether the noise was better or worse with the window
open as the literature suggests that LFN is exacerbated in enclosed rooms due to
windows and walls filtering out higher frequency sounds. It is sometimes experienced
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that opening the window ameliorates the LFN problem, although only 25% of
respondents reported this. 50% of respondents said it made no difference whether the
window was open or closed.
Noise descriptions
Complainants were asked to describe in their own words the LFN to which they were
exposed. Subsequent to this they were read a list of further descriptions, from the
literature on LFN, to see if any of them also matched their noise. In an effort not to
put words into the complainants‟ mouths they were asked for their own descriptions
first.
In addition to the descriptions commonly used by complainants to describe LFN, as
reported in the literature, other descriptions used by our respondents included: „like a
car ticking over‟; „a distant hum‟; „like a refrigerator building up again after the door
has been opened and closed‟; „like a central heating boiler‟; „a whine like a jet engine
or turbine‟; „a whistle‟; „a short beat and a long beat‟; „like a lorry with the engine
going‟; „like a meter winding down‟; „like a spin dryer‟; „like being in a microwave‟;
„like a kettle warming up‟; „like aircraft high overhead‟; „a deep roar‟; „like a
compressor unloading‟; „like emerging from a tunnel‟; „like fishing boats going to sea
at night‟; „like air roaring up a chimney‟.
Sources of LFN
Complainants were asked if they knew the source of the noise. While a third of cases
said they did know the source they were only able to narrow it down to a site (a
particular commercial or industrial premises) rather than to a specific process or piece
of equipment. Two thirds of cases did not know the source but had a variety of
theories, usually with a favoured suspect. Details of how the source or potential
source of the noise was identified were gathered and these included visiting the sites
in question or obtaining information about when new equipment was brought online
at the sites.
Complainants were asked formal questions about the history of their LFN problem.
While it was felt unnecessary to obtain the complete detailed history of the
relationship between the complainant, the EHO concerned and the suspected source of
the LFN enough information was sought to establish how long the LFN had been
present and what steps had been taken to identify and rectify it. These histories often
identified long running problems with considerable involvement of the EHO.
Sometimes ameliorating procedures were put in place which either rectified part, but
not all, of the problem, or seemed to remedy the problem only for it to start up again
in subsequent years.
Exposure to LFN
In order to obtain good recordings of the LFN complainants were asked what time of
the day the noise was worst. It was expected that this would be at night time when
background noises are reduced although this was not always the case. Often
complainants attributed bad times to particular periods in the cycle of the equipment
or process considered to be the most likely source. A number of complainants
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mentioned how wonderful it was when the noise stopped – sometimes for a fortnight
over Christmas or summer (which they attributed to the plant in question closing
down for holidays) – only they were on edge all the time expecting it to start up again
at any time.
For the majority of respondents (83%) the LFN was continuous, i.e. it was always
there. The remaining two respondents said their noise was intermittent, with silent
periods in between.
Ambient noise level in home – expectation and control
Respondents were asked how they would describe the background noise level in their
home taking the LFN out of the equation. Given that other sounds may mask LFN we
wanted to ascertain the extent to which masking sounds were present. All described
their home as „Quiet‟ or „Very Quiet‟. This raises questions about expectation and
whether some people have higher expectations of intrusion of noise from external
sources. However, some sufferers stated that they didn‟t mind aircraft flying
overhead or the sound of the road outside their home because they knew it was
intermittent and other stated that it was knowing the source that was important to
them as it gave them a sense of control.
Subjective reaction
Complainants were asked to state in their own words how the noise made them feel.
Put this way the question allowed for a repetition of the health symptoms the
complainant suffered from or a further description of their emotional response to the
noise. Many complainants spoke of the frustration they experienced, their lack of
control, and the lack of help or success from agencies they expected to have power
over the situation.
Noise avoidance
Details of any measures that had been taken to try to avoid the noise were obtained.
The importance of this was to identify the extremes to which people have gone to
avoid the noise as well as to identify measures that worked and could therefore prove
useful strategies for other sufferers.
Half of the sufferers interviewed have tried earplugs and some still use these at night.
Others said that they exacerbated the problem or made no difference. Headsets or ear
defenders have been tried by a third of sufferers, sometimes in tandem with earplugs.
Some complainants said that using head phones when watching TV aided their
concentration which was otherwise diminished.
Three quarters of the complainants had tried sleeping in different rooms in their house
with varying degrees of success. For those who found that one façade of the house
was worse than another moving to a „back‟ room proved successful. However others
found no respite despite trying to sleep in the living room, the hallway, the kitchen,
the cellar and/or the balcony. Some attempted putting foam under the bed legs, with
no effect, while others slept with their head pointing towards the middle of the room
rather than against the wall, with some effect.
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One respondent said they would go away to a holiday home they owned in order to
avoid the noise and would extend their vacation because they hated coming home.
Nearly half had considered selling their home, some had even put it on the market, but
all were concerned about their duty to tell potential buyers about the LFN problem.
Those that had tried to sell found it impossible once potential buyers were aware of
the LFN problem.
A quarter of the sufferers said they tried to concentrate on other things in order to
divert their attention from the LFN. Techniques that came under this category include
practicing yoga and other stress reduction techniques.
A quarter of sufferers regularly took prescribed sleeping tablets in order to sleep and
found these very successful. Others were not willing to take sleeping tablets.
Creating additional noise to mask the LFN was tried by some, again with varying
success. Using a „tinnitus machine‟ worked extremely well for one complainant who
had discovered this on the internet. Similarly an air purifier worked for another
complainant. Another had found playing „white noise‟ on the radio helped them
sleep. However, playing the radio or TV during the night had limited success
although more during the day.
All respondents were asked if they had any additional comments that they felt were
relevant to their problem but which had not been covered in the interview. No new
information was obtained in this way.
General comments on interviews
The results presented above indicate that all the complainants used in the study have
ongoing problems which they associate with low frequency noise, and which have a
fairly serious impact on their lives. None have a history of suffering from these
problems at previous residences, and none have had an employment or other
discernable relationship with the company or organisation suspected as the source of
the low frequency noise about which they complain. Furthermore, as far as can be
judged by an experienced interviewer, the complaints were genuine, and there was no
hint of ulterior motives, such as wanting to get rid of local industry.
Responses to the problem of exposure to low frequency noise ranged from an annoyed
interest to feeling suicidal. Coping strategies ranged from wearing earplugs through
sleeping in different rooms to attempting to sell the house. Not all respondents had
found a strategy that worked for them at the time of the interviews although we were
able to pass on information about how other sufferers coped.
Measurement results and analysis
A large amount of data was recorded for each case study. This was considered
necessary, since from experience, the equipment must typically be in the property for
several days to capture a period when the complainants report hearing a representative
„bad‟ noise. One of the problems of LFN analysis is how to make sense of such a
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large amount of data. The details of the analysis varied from case to case, but the
usual steps were as follows:
a. Several periods were selected from the subject‟s log about the time they said
the noise was particularly bad (the period was chosen to encompass the time
given by the occupant, but to exclude events such as doors closing etc. as
detected by ear)
b. For each such period a sonogram was drawn to display the 1/3 octave
spectrum. This was examined to see whether any events could be identified
that correlated with the respondent log. The sonogram option may not be
available to most EHOs, but a third octave band spectrum could be used
instead.
c. From the third octave band plot, the single third octave band that exceeded the
audibility threshold by the highest margin was selected
d. A narrow band plot was also made to see if there were any obvious tonal
frequencies in this band
e. A plot of the sound level in this third octave band was then plotted against
time so as to show what, if anything, happened at the time identified as being
bad.
In all but two cases it was possible to identify suitable periods described by the
subject as particularly bad. In Case 8 the subject did not make a detailed log, asserting
simply that their noise was present all the time. In Case 6 there was some question as
to whether it was the subject themselves or a spouse who had compiled the logs. For
these cases we selected the worst case situation by a combination of looking at the
spectra and analysis „by ear‟ of the audio recordings.
In this section are presented two cases which are illustrative of the other cases. A
summary of the results of other cases is shown in Appendix 1.
Case 20
Figure Times identified by respondent selected for presentation
below Figure 5 03h00 “Bad throb, headache, felt sick” Figure 8 00h30 “Very bad rumble” Figure 8 08h15 “Very bad throb”
Location Rural
Source Distant industrial
Microphone
position
Corner of downstairs living room
The narrow band plot in Figure 3 is from the around the time indicated as bad by the
complainant, and shows a clear pronounced peak at about 36Hz. Sounds at this
frequency, if of high enough intensity to be audible, would be heard as a low
booming. However, the presence of this peak by itself is not enough to demonstrate a
problem, we need to compare it with the threshold of audibility and with national
criteria. This is done in the third octave band plot, Figure 4, taken at around the same
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time, on which is also shown the ISO threshold of audibility. The 40Hz band is above
the threshold by more than 20dB, and is the most likely candidate to cause a problem.
Having clearly identified the 40Hz band as the likely source of the problem, a plot of
the variation in the level of this band with time is shown in Figure 5. The time given
by the complainant is marked, and clearly corresponds with a time when the level in
this band was raised. Also shown in this figure for comparison are the limits from the
Polish and Danish national criteria, which are respectively the lowest and highest
values of any of the national criteria for this band. Note that the Danish curve is not
strictly intended to be used as a reference curve in this way, and so the value plotted is
if anything on the high side. Even without taking this into account, the levels are
above the curve, and therefore above all the national criterion curves.
Figure 6 shows the dBA and the dBC levels plotted during the night. dBA is the usual
indicator for environmental noise, and filters out low frequencies. dBC does not filter
out low frequencies. The amount by which the dBC level exceeds the dBA level
therefore gives an approximate indication of the low frequency content in the sound.
The difference is up to about 30dB, so the preliminary check used for the German
standard would show the need for a more detailed investigation. Note that after 07h00
the A weighted level rises significantly whilst the dBC level remains about the same.
This is due to activity of the residents getting up and making some sound in the house.
Thus, the sound is predominantly low frequency, except when there is „people noise‟
in the house.
Figure 7 shows the third octave band spectrum at another time indicated by the
complainant as particularly bad. It is similar to Figure 4 with the 40Hz band about
15dB above the threshold of audibility. The time history in Figure 8 shows that levels
exceed the Danish limits (and therefore all other national criteria) in the 40Hz band
throughout the night, and are particularly high at times indicated.
Therefore, in this case there is a clear correlation between times when the noise
exceeded guidelines and when the complainant reported being particularly disturbed.
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[ID=153] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 36.47 68.1
0
10
20
30
40
50
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70
80
20 40 60 80 100 120 140 160 180 200 220 240
Figure 3: FFT of 9m30s audio record starting 02h28m from measurement
Case20_040508_210000.cmg
1 [Average] Hz dB40 70.0
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k 16 k
Figure 4: Mean 1/3 octave band spectrum 9m30s starting 03h00m from measurement
Case20_458_210000.cmg
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Figure 5: Time history showing 40Hz 1/3 octave spectrum band from measurement
Case20_458_210000.cmg together with lower Polish 44.6dB and Danish 54.6dB limits
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
21h 22h 23h 00h 01h 02h 03h 04h 05h 06h 07h 08h 09h
Figure 6: Time history showing 40Hz 1/3 octave spectrum band from measurement
Case20_458_210000.cmg together with dBA levels. The dBA level illustrates normal household
noise.
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1 [Average] Hz dB40 65.1
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k 16 k
Figure 7: Mean 1/3 octave band spectrum 9m30s starting 08h10m from measurement
Case20_459_210000.cmg
Figure 8: Time history showing 40Hz 1/3 octave spectrum band from measurement
Case20_459_210000.cmg together with lower Polish 44.6dB and Danish 54.6dB limits
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Case 2
Figure Times identified by respondent as ‘Intolerable’ selected for
presentation below
Figure 11 23h45 5 on scale. „Hum louder through the night‟
Figure 14 07h00 2 on scale „Hum as usual‟
Location Suburban
Source Suspected industrial.
Microphone
position
By closed doubled glazed window in upstairs front bedroom
Figure 9 shows the narrow band recording from Case 2 at a time indicated by the
complainant as a score of 5 on the log sheet scale of 8 (Figure 2). This was the highest
that they recorded throughout the tests. Figure 10 shows the third octave band plot
with the ISO threshold of hearing superimposed. The only notable feature on both
plots is a peak at 10Hz, but this is more than 40dB below the threshold of hearing as
published in the German standard (the ISO published values do not extend down to
10Hz). The 80Hz band might be just audible, and the 100Hz band exceeds the audible
threshold by about 6dB, so could be audible. However, none of the bands up to 80Hz
exceeds any of the national criteria. The 100Hz band level is at a similar level to the
Polish curve, but would not exceed it when background noise was taken into account
as is required in the Polish method. Thus, none of the national criteria were exceeded
for this time.
The dominant source in the 80and 100Hz bands was road traffic noise. It is fairly
common to find audible noise in these bands due to traffic. This could be determined
by ear, and from the profile of the sound levels during the night (Figure 11) which is
typical for traffic. Figure 11 also shows the time the comment relates to. It can be seen
that this occurs at a time when the noise levels in this band are falling. (The
occasional „spikes‟ on this plot are due to internal movement or occasional events in
the neighbourhood, and are not associated with any steady noise of LFN type). The
description of the noise as „hum louder through the night‟ does not correlate with the
noise levels in this band.
Thus, for this time:
none of the national criteria were exceeded
the description given by the complainant does not correlate with the observed
variation in noise levels in the only band likely to contain audible sound
the noise in this audible band was due to road traffic.
The narrow band spectrum for another time is shown in Figure 12. There is a small
peak at 75Hz, which also shows up in the third octave spectrum Figure 13 (the source
is not known but is thought to be internal). This band is an average of more than 5dB
above the two neighbouring bands and slightly exceeds the German night time limit of
33dB. The time history in Figure 14 shows a similar typical profile of traffic noise
(again, the spikes are single events, not LFN). Noise levels are rising at the time of the
comment, but the complainant gives a score of only 2 on the scale of 8. These
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findings do not correlate with the above comments from the earlier time where the
German criterion was not exceeded and a higher disturbance score was given.
Several other times and comments were evaluated, but we were unable to find a
relationship between noise levels and the comments. The cause of complaints in this
case therefore remains a mystery. In terms of the aims and objectives of this project it
provides a clear example of a case that could not be solved by engineering noise
control. This is true firstly because the only noise that could be identified was road
traffic noise. Secondly, even if a source could be found, the lack of correlation
between the respondent‟s comments and the presence of any raised noise levels
suggest that reducing noise levels would not resolve the complaints.
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[ID=147] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 91.88 24.7
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 9: FFT of 9m30s audio record starting 23h45m from measurement
Case2_433_104426.cmg
Average G1 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 100 30.0
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 10: Mean 1/3 octave band spectrum 9m30s starting 23h45m from measurement
Case2_433_104426.cmg
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Figure 11: Time history showing 100Hz 1/3 octave spectrum band from measurement
Case2_433_104426.cmg together with lower Dutch (audibility) 22dB and Danish 39.1dB limits
[ID=154] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 76.88 34.9
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 12: FFT of 9m30s audio record starting 07h00m on 01/03/04 from measurement
Case2_4229_210000.cmg
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Average G1 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 80 39.9
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 13: Mean 1/3 octave band spectrum 9m30s starting 07h00m on 01/03/04 from
measurement Case2_4229_210000.cmg
Figure 14: Time history showing 80Hz 1/3 octave spectrum band from measurement
Case2_4229_210000.cmg together with lower Dutch (audibility) 27dB and Danish 42.5dB limits
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Similar analyses were carried out from measurements at nine other residences. Some
of the figures used in the analysis are given in the Appendix. The overall findings are
summarised in Table 3.
Case Peak
1/3
octave
band
(Hz)
Respondent
suspected
source
Correlation of
respondent log
with suspected
source
Source
indicated
by analysis
Correlation of
log with
analysis
indicated
source
2 100 Industrial No None N/A
80
5 63 Industrial No None N/A
63
6 50 Industrial No None N/A
100
7 80 Industrial No None N/A
80
8 50 Industrial No log Industrial N/A
50
13 100 Do not know N/A None N/A
100
16 100 Do not know No Air traffic
and
domestic
equipment
Yes
18 50 Industrial No Domestic
equipment
and possibly
air traffic
Yes
19 100 Industrial Yes Industrial Yes
50
19a 63 Industrial Yes Industrial Yes
63
20 40 Industrial Yes Industrial Yes
Control
1
63 Traffic Yes Traffic Yes
40 Domestic
equipment
Yes Domestic
equipment
Yes
Control
2
50 Domestic
equipment
Yes Domestic
equipment
Yes
Control
3
63 Traffic Yes Traffic Yes
Control
4
160 Industrial Yes Industrial Yes
100 Traffic Yes Traffic Yes
Table 3: Summary of findings from case studies and control cases. The multiple entries refer to
different events studied.
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A number of control cases were also examined using the same techniques. These were
residences where low frequencies would be expected in the spectrum, but where there
had been no reports of disturbance, for example city centre residences and houses
with direct line of sight to a busy motorway. The findings are also summarised in
Table 3. Of particular note from these results is that in Control Case 1 the criteria
would have been exceeded due to a domestic central heating pump in the dwelling,
although there was no complaint about LFN.
General comments on field studies
The case studies fall into three categories:
a. Positively identified LFN – in these cases the national criteria were exceeded
and respondent logs correlated with recorded sound from an external source of
LFN
b. Unidentified – in these cases the national criteria were not generally exceeded,
(except perhaps by traffic noise or sound from internal domestic equipment)
and respondent logs did not correlate with any source
c. Marginal – in these cases a source of LFN could be determined but was
borderline with respect to the criteria.
The case studies falling into these categories are identified in Table 4
Table 4: Categorisation of case studies
Positively identified Case 20
Case 19
Case 19a
Marginal Case 16
Case 18
Case 8
Unidentified Case 6
Case 13
Case 7
Case 5
Case 2
In positively identified cases an engineering solution could be put into place, and in
view of the correlation with respondent logs, would be likely to remove the source of
the problem. In unidentified cases engineering solutions would not be possible, firstly
because no source could be identified, and secondly, even if it could, the lack of
correlation with the complainant logs suggest that the problem would not be solved by
reducing sound levels. In two out of three of the marginal cases the suspected source
involved air traffic, which would be beyond the control of a local authority.
Therefore, it appears that the national criteria are generally successful in
distinguishing between cases where the EHO is likely to be able to bring about a
solution from those where they are not. However, as control cases show, there is not
always a complaint when the criteria are exceeded. These conclusions are significant
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in terms of the aims of this study; they imply that the criteria can be useful indicators,
provided they are not applied in a rigid way.
Most of the „problem‟ and „marginal‟ sounds were in the 40 and 50Hz bands. In these
bands the national reference curves are in reasonably close agreement, so the same
conclusion would be arrived at irrespective of the criterion used.
It was noted that in all cases the background noise levels in the residences were
extremely low apart from the LFN, if present. This is typical and has been observed
by various researchers (see for example [vB99b]). Such low levels of natural masking
noise are thought by some to be a factor contributing to the disturbance of LFN.
It is also noticeable that there were no cases in which the noise was reported to be
present only during the day. This does not mean that the noise was absent during the
day, most respondents said they could hear it during the day but that it was worst at
night. However, in every case the noise was reported to be present at night. This
contrasts with common experience, where a random batch of complaints about
general industrial noise (not LFN) might be expected to include some complaints
about industry that does not operate at night but causes disturbance only in the
daytime. This observation does not contribute to the main aims of this report, but it is
mentioned as being relevant to help explain the phenomenon.
A certain amount of judgement is involved in identifying LFN. One of the most useful
aspects of the criterion curves is to help identify problem frequency bands (see also
[Ru02]). A useful technique, which is now becoming more widely available, was
found to be to take audio recordings along with sound level measurements. It is a
common problem that the investigating person is hampered by not being able to hear
the sound themselves. Audio recordings can be played back at a higher (audible) level
and are useful to distinguish between various noise sources. Combined with third
octave and narrow band spectra, together with the criterion curve improves the
chances of being able to identify sources.
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LABORATORY TESTS
Objectives of the tests
Much previous work, (including most national guidelines) is based on the idea that the
acceptability or otherwise of a low frequency sound can be evaluated in relation to a
frequency-dependent reference curve. This well-established approach will be adopted
here. Such a curve can be called the „threshold of acceptability‟: sounds with a higher
intensity would be considered unacceptable, and those with a lower intensity
acceptable. (The idea is similar to the familiar „threshold of hearing‟ which indicates
the level at which sounds become just audible rather than acceptable.) The overall aim
of the laboratory tests is to establish a threshold of acceptability for day and night time
and for sounds of various characters.
It has already been mentioned that it is not possible to reproduce realistic field
conditions in a laboratory test. In particular, the length of exposure does not give an
adequate impression of what it is like to live with the sound. Therefore, the laboratory
tests should not be used to establish absolute levels for a reference curve. However,
absolute levels have been fairly well established in the various national criteria and by
reference to published hearing thresholds, so this is not needed. What is needed is to
establish an optimum shape for the curve since the various national guidelines differ
in this respect. This will be the first objective of the laboratory tests.
Clearly, as with thresholds of hearing, the threshold of acceptability would be
expected to vary from one person to the next. It might also vary between day and
night time, and could show variation depending on the character of the sound as well
as its intensity. In particular, the degree of fluctuation in a sound has previously been
identified as an important parameter affecting the acceptability [Po03] [Le03].
The objective of the laboratory tests is therefore to establish „thresholds of
acceptability‟ for sounds with varying degrees of fluctuation, for day and night
exposure.
Overall methodology for laboratory tests
There are two general approaches to testing in the laboratory: the method of limits and
the method of adjustment.
In the method of limits a number of fixed sounds is played to the subject, who is
asked to give each one a „score‟ to indicate how much it annoys them, how pleasant
they find it etc. In the method of adjustment, the level of the sound is adjusted until it
achieves a certain response from the subject, for example it is adjusted so that they
can just hear it (this is how hearing thresholds are tested). In both methods one is
looking to find a correlation between an objective quantity (as measured by the
acoustic instrumentation) and a subjective quantity (as indicated by the subjects).
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The method of limits is the best-established method for measuring reactions to
environmental noise (see for example Poulsen and Mortensen [Po03]). One advantage
for this study is that we could argue it is closer to real cases in that sufferers of low
frequency noise have no control over the sound, (other than to move to another room
or building). A disadvantage is that, since we are interested in establishing the effect
of fluctuations on the threshold of acceptability, we need as many sounds as possible
to be around the threshold level. This may not work out if we are fixing the level of
the sounds for all subjects since each individual will have a different threshold. This
leaves the possibility that some tests might not give useful data.
The method of adjustment could be used by asking subjects to adjust the level of the
sound so that it is just acceptable for an assumed situation, like trying to get to sleep.
(see for example Inukai et al. [In00] who carried out a series of tests on Japanese
subjects). The effect of fluctuations, if any, on the threshold of acceptability can be
judged directly from their responses to sounds of different character.
Therefore, the method of adjustment is well suited to the objectives of the tests and
was adopted. There are further advantages in that the comparisons can be done more
quickly than with the method of limits, so that more significant data can be obtained
from each subject in the time available. Furthermore, since the method gives the
threshold of acceptability directly it avoids the need for statistical analyses required
by the method of limits.
Details of the tests
Having decided in the previous section on the basic approach, in this section the
following details are described:
selection of sounds
choice of subjects
length of tests
listening room set-up
calibration of listening room
audiometric tests
test procedure.
Selection of sounds
The following options were available:
sounds from field recordings
synthesised sounds
a combination of real and synthesised sounds.
The advantage of real sounds is that they are more easily accepted as realistic. The
advantage of synthesised sounds is that they can be controlled so that only one aspect
of the sound is varied at once. Specifically, this would allow us to control the amount
of fluctuation whilst keeping other characteristics of the sound constant. The final set
presented to subjects comprised a combination of real and synthesised sounds which
was developed and refined during a series of preliminary tests.
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It was decided to use at least some sounds from the field studies for realism. However,
it was not sensible to compare sounds from different case studies because a number of
factors vary, such as the frequency and character of the sounds. In order to isolate the
effects of fluctuations we needed to compare subject reactions to a number of sounds
in which all parameters (tonality, frequency content etc.) were kept constant except
the amount of fluctuation. After some searching we found a set of sounds that met this
requirement fairly closely. In case 20, the suspected source was about a mile away, so
that the fluctuation in the sound varied with wind and other factors. We were able to
select a number of short recordings from the five-day record in which the source was
essentially the same, but the degree of fluctuation of the sound varied. From this set,
the best five samples were chosen by a combination of analysis and preliminary
listening room tests. In fact there was some variation in frequency content between
the samples, but since this was not detectable by ear it was decided that they could be
considered essentially the same except for the type and strength of fluctuation. This
allowed us to combine the realism of actual sounds with the controlled fluctuations
that would otherwise have had to be synthesised. The test sounds were therefore
strongest in the 40Hz third octave band.
The sounds had to be carefully prepared. Segments of a few minutes with varying
degrees of fluctuation were identified by evaluating the standard deviation of the
sound pressure level (this is a measure of the variance in sound level, see later) over
the three nights of recording. It was verified that the sounds were „clean‟, i.e. with the
industrial source only and without extraneous noise, such as traffic, which could have
confused the picture. From this set, a smaller set of five sounds was selected in which
the frequency of the sounds was as close as possible. In preliminary tests it was found
that most of the sounds drifted in level over a period of a minute or so, making it
difficult to establish a proper threshold. Hence, a ten second sample of each sound
was taken and „looped‟ so as to produce a recording of 3 minutes duration but with a
homogenous content throughout. The „joins‟ between the looped segments were
disguised by cross fade techniques so that even expert listeners could not tell that it
had been looped.
Waveforms of the five real sounds are shown in Figure 15*.
* The sounds can be heard on http://www.acoustics.salford.ac.uk/lfn.htm
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0 1 2 3 4 5 6 7 8 9 10-1
0
1
0 1 2 3 4 5 6 7 8 9 10-1
0
1
0 1 2 3 4 5 6 7 8 9 10-1
0
1
0 1 2 3 4 5 6 7 8 9 10-1
0
1
0 1 2 3 4 5 6 7 8 9 10-0.5
0
0.5
1
time, s
Figure 15: Waveforms of the real sounds Tracks 1-5 used in the laboratory tests
These real sounds did not fully answer all our needs, because it would provide results
only at a single frequency. In order to test the threshold of acceptability tests were
needed at controlled frequencies over the whole of the low frequency range. Field
recordings could not be used for this purpose because the „problem‟ frequencies
recorded on site lay in a narrow range. Also, it would not have been possible to
produce a set of sounds in which only the frequency varied in a controlled way.
Hence, the real sounds above were supplemented by synthesised sounds.
Ideally, we would have produced sounds over a range of frequencies and with a range
of fluctuation. However, this would have required too many sounds for subjects to
evaluate in the time available. Hence, two sets of synthesised sounds were used:
a set of pure tones at third octave band centre frequencies between 25Hz and
160Hz so as to cover the entire frequency range for testing the shape of the
reference curve
Sound p
ress
ure
, ar
bit
rary
unit
s
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two pairs of sounds, one fluctuating at one and a half beats per second (a
beating tone) and one steady (a pure tone) so as to evaluate fluctuations at 40
and 60Hz
The „beating tones‟ were synthesised by combining two steady tones of similar
frequencies as shown in Table 5. The result was the waveforms as shown in Figure
16: Waveforms for beating tones at 40 and 50Hz used in the laboratory tests. The
frequencies of 40Hz and 60Hz were chosen because these were frequencies at which
problems occurred most often in the field studies.
40Hz beating tone 60Hz beating tone
Formed from two tones:
40Hz at 0dB
41.5Hz at –8dB
Formed from two tones:
60Hz at 0dB
61.5Hz at –8dB
Table 5: Details of how the beating tones were synthesised
0 1 2 3 4 5 6 7 8 9 10-1
-0.5
0
0.5
1
0 1 2 3 4 5 6 7 8 9 10-1
-0.5
0
0.5
1
Figure 16: Waveforms for beating tones at 40 and 50Hz used in the laboratory tests
To summarise, three sets of sounds were used:
a. Real sounds
b. Steady tones
c. Beating tones.
Choice of subjects
The choice of both the number and make up of subjects is an important consideration.
The total number of subjects was set at 18. A slightly higher number (22 subjects) was
used in a similar test in Denmark [Po03]. However, these were mostly young subjects,
and by selecting subjects with age and sex profile of sufferers the significance of the
results could be increased.
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Regarding the profile of subjects, low frequency noise sufferers tend to be middle
aged or elderly, and the majority are women. Also, there is evidence that people
known to be disturbed by low frequency noise will judge sounds differently to a cross
section of non-sufferers [Pe03]. Consequently the following profile was proposed:
Group 0 3 subjects known to be disturbed by low frequency sounds
Group 1 8 subjects with the age profile of typical sufferers (55-70 year old) but
without a history of disturbance by low frequency noise
Group 2 7 subjects from a younger age group chosen at random.
Subject Age Sex Group
1 75 F 0
2 20 F 2
3 63 M 1
4 47 F 0
5 57 M 1
6 40 F 2
7 23 M 2
8 65 M 1
9 59 F 1
10 60 F 1
11 34 F 2
12 44 F 2
13 25 M 2
14 58 M 1
15 63 F 0
16 60 M 1
17 60 F 1
18 39 F 2
Table 6: Make up of subjects for laboratory test
Group Average age Sex Total
Group 0 62 3F 3
Group 1 60 5M, 3F 8
Group 2 32 2M, 5F 7
All 50 7M, 11F 18
Table 7: Make up of subject for laboratory tests by group
Length of the tests
The length of the tests was determined by the following argument. From experience
of similar tests the maximum test period over which subjects can maintain
concentration is 20 minutes after which a break is required. Also, it was considered
that a three-hour session was the maximum over which reasonable results could be
obtained from the point of view of subject fatigue. A period of training was required
of about 20 minutes, and two audiometric tests taking about half an hour in total.
Taking these constraints into account the maximum number of test session was three
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with a total listening time of 1 hour. This placed a limit on the number of sounds that
could be played.
Listening room test setup
Tests were carried out in the listening room at Salford University, which conforms to
the stringent requirements of ITU-RBS1116 (standard for listening rooms). The room
is designed for comfortable listening conditions. Subjects were asked to sit on a
reclining chair, which was selected both to minimise its effect on the sound field, and
to provide a relaxing, reclined position for the night time tests.
The sound was produced through a single REL Strata V subwoofer, combined with
Genelec speakers mounted so as to give the subject the impression of being
surrounded by sound as in a real situation. Speakers were hidden from the subject by
cloth screens. Experience showed that the source could not be located by ear. The test
arrangement is shown in Figure 17.
Figure 17: Listening room setup
Once subjects were seated in the reclining chair they were read the following
instructions for the „day time‟ tests:
“Imagine you are at home during the day. Press the button whenever you consider the
sound is not acceptable to live with and keep it pressed. Whenever you consider the
sound is acceptable to live with, release the button.”
or alternatively, for the „night time‟ tests:
“Imagine you are at home at night and trying to get to sleep. Press the button
whenever you consider the sound is not acceptable to live with and keep it pressed.
Whenever you consider the sound is acceptable to live with, release the button.”
For the „day time‟ tests the main lights were on in the room, and for the „night time‟
tests the main lights were switched off leaving a low level lamp.
Reclining
chair
Operator‟s
desk
Subwoofer
Mid-range
speakers
Curtain
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An operator adjusted levels using similar techniques to those used in audiometry, i.e.
by reducing the level when the button was pressed until it was released. A coarse
adjustment was made up and down to find an approximate threshold during the first
few seconds followed by finer adjustments. The operator was experienced in
audiometric testing, which helped to improve the quality of the results. The bus level
on the mixing desk was noted after each sound, and this was later calibrated to give
the sound pressure present at the ear of each subject. Each sample lasted 90 seconds,
which had been found during preliminary tests to be sufficient time to obtain a
reliable threshold. It was found by experience that, after an initial training period, the
threshold levels were repeatedly set to within 1dB, which is extremely close for this
type of test. This gave considerable confidence in the technique.
Calibration of the listening room
The listening room is specially designed to have a „flat‟ frequency response, meaning
that it is has no acoustic character that would „colour‟ the sound, for example by room
resonances. However, the usual frequency range for listening tests is down to about
40Hz, whereas in this case low frequency measurements were needed down to 25Hz
(the lowest „problem‟ frequency from field tests was 34Hz). At such low frequencies
there is no such thing as a flat response for any normal sized room. To compensate for
any colouration effects, a third octave band graphic equaliser was used and adjusted
so that the frequency response of the combined sound system and room was flat. In
fact, the sounds presented were predominantly single frequency sounds, so that
colouration effects are unlikely to play any role.
The room is also designed for low background noise. The only audible sound, apart
from the test sound was a faint buzz from amplifiers. This could have been removed,
but preliminary testing showed it to have no effect.
It was necessary to relate the bus levels, as recorded by the operator, to the actual
sound level as perceived by the subject. This was done in a calibration test before the
main block of tests in which each sound was recorded on a microphone at the position
of the subject‟s head. The sound pressure levels (Leq) recorded were used to calibrate
the bus levels.
Additionally, an overall calibration was carried out at the beginning and end of each
day, using pink noise. The variation in sound pressure level at the subject‟s head
position was never more than about ±0.2dB over the entire test run, which is within
the tolerance allowed for precision sound level meters.
Audiometric tests
There were two parts to the audiometric testing, a conventional test and a low
frequency test.
The conventional test was conducted using a Bekesy automated audiometer over the
frequency range 250Hz-6kHz. These frequencies are all above those of the sounds
presented in the listening tests, but it was considered wise to carry out the test so as to
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show up any hearing defects that could affect the results. The results of these tests are
not reported here.
The low frequency audiometric tests were carried out in the anechoic chamber at
Salford University. This facility is calibrated and accredited by UKAS for testing
according to British and European standard number BSEN24869. The standard test
procedures had to be extended and modified for the purposes of this study. Firstly, the
frequency range was extended down to 31.5Hz. Secondly, pure tones were used as a
test signal rather than filtered pink noise because this is more representative of how
low frequency noise typically occurs in the field. Test frequencies were the third
octave band centre frequencies between 31.5 and 160Hz. These low frequency
hearing thresholds were needed for interpretation of subjective responses, because
individual sensitivity will affect perception.
Test procedure
All subjects participated in five separate tests
1. training period
2. audiometric testing
3. steady tones night time
4. real sounds/ beating tones day time
5. real sounds/ beating tones night time
The order of the first two sessions was reversed for half the subjects to allow access to
the audiometric facility. The order of the day and night sessions was varied randomly
in order to prevent any bias in the results.
During the training period subjects were introduced to the listening room and the
sequence of testing was explained. They were played a selection of sounds and given
some practice in adjustment of the levels. Such training periods are a widely accepted
as a necessary practice in this type of testing. In preliminary tests a training effect was
noted in which subjects tended to indicate lower thresholds the second time they were
played a sound. This was attributed to them „learning‟ to recognise the sound. Further
preliminary tests showed that a single period of training was sufficient to overcome
this effect.
Laboratory test results
Low frequency hearing thresholds
Figure 18 shows the hearing thresholds of all subjects. There is a spread of between
25 and 40dB between the most and least sensitive subjects. Figure 19 shows the
results averaged over each group. It shows that the younger age group (group 2) has
more sensitive hearing than the 55-70 year old group (group 1) by about 5dB. This
would be expected as hearing sensitivity tends to reduce with age. The shapes of the
spectra follow the published ISO values fairly faithfully, and the levels are in
agreement given that the ISO curve applies to 18-25 year olds whereas the average
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age of the subjects was 60 and 32 years for group 1 and 2 respectively. (Note that the
ISO thresholds were increased by between 1 and 4 dB in 2003.)
Figure 18 also shows that the least sensitive group in terms of hearing threshold is
group 0 (sufferers). This contradicts the view sometimes expressed that those who
suffer from low frequency noise have especially acute hearing at low frequency,
although the number of subjects is too small to draw a general conclusion on this.
Low frequency hearing thresholds for all subjects
0
10
20
30
40
50
60
70
80
31.5 40 50 63 80 100 125 160
Third octave band centre frequency, Hz
So
un
d p
ressu
re level, L
eq
, dB
Figure 18
Average low frequency hearing thresholds for each group
0.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
31.5 40 50 63 80 100 125 160
Third octave band centre frequency, Hz
So
un
d p
ressu
re le
vel, L
eq
, d
B
Group 0 average Group 1 average Group 2 average ISO
Figure 19
Sufferers
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Threshold of acceptability for pure tones
Figure 20 shows the thresholds of acceptability set by all subjects to tones plotted
against the frequency of the tone. There is a range of about 30dB between the most
and least sensitive subject. This is not surprising given that the thresholds of hearing
have a similar spread. Figure 21 shows the values averaged out over each group. It
shows that in absolute terms the sufferers are the least sensitive group, followed by
the older and then the younger group. As mentioned above, this contradicts the often-
held view that sufferers tend to be particularly sensitive.
Night time acceptability thresholds for tones: all subjects
0
20
40
60
80
100
120
1601251008063504031.525
Third octave band centre frequency, HzS
ou
nd
pre
ssu
re level, L
eq
, d
B
Figure 20
Night time acceptability thresholds for tones: by group
40.0
45.0
50.0
55.0
60.0
65.0
70.0
75.0
80.0
85.0
90.0
1601251008063504031.525
Third octave band centre frequency, Hz
So
un
d p
ressu
re le
vel, L
eq
, d
B
Group 0 average Group 1 average Group 2 average
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Figure 21
We would expect each individual‟s threshold of hearing to have a strong effect on
where they set the threshold of acceptability. Therefore it is interesting to see how far
above the hearing thresholds subjects set their threshold of tolerance. Shown in Figure
22 are the „relative‟ thresholds, i.e. the difference between the threshold of
acceptability and of hearing for each individual. There is about a 35dB spread in the
results. Some subjects set the threshold of acceptability only a few dB above their
hearing threshold, in other words they judged a sound that was only just audible to be
unacceptable. (In one case the threshold of acceptability is set slightly below the
threshold of hearing, which can be attributed to subject variability). Others set the
difference very much higher, so that the sound would be clearly audible before they
judged it unacceptable.
Night time acceptability thresholds for tones relative to hearing
thresholds, all subjects
-10
-5
0
5
10
15
20
25
30
35
40
45
31.5 40 50 63 80 100 125 160 Hz
Third octave band centre frequency, Hz
Level
dif
fere
nce,
dB
Figure 22
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Night time acceptability thresholds for tones relative to hearing
thresholds: by group
0.0
5.0
10.0
15.0
20.0
25.0
30.0
31.5 40 50 63 80 100 125 160
Third octave band centre frequency, Hz
Level
dif
fere
nce,
dB
Group 0 average Group 1 average Group 2 average
Figure 23
Figure 23 shows the values averaged by group. Two points of interest come out of
this. Firstly, there is a marked difference in the average response of sufferers
compared with the other two groups. They set the acceptable level about 10dB higher
than hearing threshold on average, whereas for non-sufferers, the difference was about
20dB. Thus, we can say that the sufferers are more sensitive in relative terms than
others (meaning relative to their hearing threshold), although as stated above in
absolute terms they were less sensitive. (Again, we should be cautious about drawing
general conclusions based on three subjects.)
The second point from Figure 23 is that the threshold of acceptability reduces, i.e gets
closer to the threshold of hearing for the lower frequency bands. For groups 1 and 2
the relative threshold in the 31.5 and 40Hz bands are lower by about 10dB than those
for higher bands. For group 0, they are lower by about 10dB between the 31.5 and
63Hz bands. (The 160Hz band is also lower, but we believe this may be an artefact of
the crossover to mid-range speakers from the subwoofer at this frequency rather than
a real effect). This is significant because it suggests that the optimum shape of a
reference curve does not follow the threshold of audibility over the whole of the low
frequency range. Rather, it will tend to follow the hearing threshold for the lower
bands but then move away from it above around 50Hz.
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Relative level of national criteria compared with ISO hearing
threshold
-10
-5
0
5
10
15
20
25
20 25 31.5 40 50 63 80 100 125 160 200 250
Third octave band centre frequency, Hz
Level
dif
fere
nce,
dB
Germany Denmark
Sweden Netherlands
Acceptability, average for all subjects
Figure 24
The thick line in Figure 24 is the threshold of acceptability relative to hearing
threshold averaged over all subjects. Shown on the same plot, are the national criteria
referenced to the ISO hearing threshold [IS03]. (Note that the ISO thresholds were
republished in 2003, with values between 1 and 4dB higher than the previous values.)
In other words all curves give the amount above or below a relevant hearing
threshold. The purpose of the plot is to compare the shapes of the curves. It can be
argued that the acceptability threshold is most similar to the Swedish curve, in that it
is flat for the lower bands and then rises, although the Swedish curve rises faster.
Threshold of acceptability for real sounds
The thresholds of acceptability for the real sounds are shown in Figure 25 for all
subjects in the „night time‟ situation. (Waveforms of these sounds are plotted in
Figure 15). There is a wide spread of results as was found for tones. This might be
expected given the wide range of hearing thresholds. However, the lines are
surprisingly parallel, which shows that all subjects responded in a similar way to the
various sounds, but at a different overall level.
Figure 26 shows the same data as Figure 25, but averaged by group. We see that, as
for the tones, group 0 is less sensitive in absolute terms than the other two groups, by
about 2dB. There is no significant difference in the responses of the other two groups.
Subjects were generally more tolerant of track 1 (which displayed the smallest
fluctuations) by about 5dB, and judged the other four sounds to be similar in terms of
their acceptability.
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Night time thresholds of acceptability to real sounds: all subjects
50
55
60
65
70
75
80
85
1 2 3 4 5
Track number
Sou
nd
pre
ssure
level, L
eq, dB
Figure 25
Average night time thresholds of acceptability to real sounds: by
group
60.0
62.0
64.0
66.0
68.0
70.0
72.0
74.0
1 2 3 4 5
Track number
So
und
pre
ssu
re leve
l, Le
q, dB
Group 0 average Group 1 average Group 2 average
Figure 26
Figure 27 and Figure 28 show the same data as Figure 25 and Figure 26, but for „day‟
rather than „night‟, and show similar trends. The average day and night curves are
shown together in Figure 29 which shows that on average respondents set the night
time thresholds 2dB lower than for the day. More importantly for this study is the fact
that the difference between day and night was almost identical for each sound, which
gives some confidence that there is not a qualitative difference in the sounds, with
some being relatively more disturbing at night.
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Day time thresholds of acceptability to real sounds: all subjects
50
55
60
65
70
75
80
85
90
1 2 3 4 5
Track number
So
und
pre
ssu
re leve
l, Leq
, dB
Figure 27
Average day time thresholds of acceptability to real sounds: by
group
63.0
64.0
65.0
66.0
67.0
68.0
69.0
70.0
71.0
72.0
73.0
1 2 3 4 5
Track number
So
un
d p
ressu
re level, L
eq
, d
B
Group 0 average Group 1 average Group 2 average
Figure 28
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Comparison of average day and night time thresholds of
acceptability to real sounds
62.0
63.0
64.0
65.0
66.0
67.0
68.0
69.0
70.0
71.0
72.0
1 2 3 4 5
Track number
So
und
pre
ssu
re le
ve
l, L
eq
, dB
Day
Night
Figure 29
We would expect the acceptability thresholds set to depend on the hearing thresholds.
Therefore, as for the tones, it is useful to look at the difference between these two
thresholds for each subject. These figures are given in Figure 30 for night time and
Figure 31 for day time. Two interesting points come out of these figures:
sufferers tend to set acceptable levels very close to their threshold of hearing,
both day and night
the youngest group was most tolerant, and the older group less so to these
sounds.
Night time acceptability thresholds relative to hearing threshold for
real sounds: by group
0.0
5.0
10.0
15.0
20.0
25.0
1 2 3 4 5
Track number
Level
dif
fere
nce,
dB
Group 0 average Group 1 average Group 2 average
Figure 30
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Day time acceptability thresholds relative to hearing threshold for real
sounds: by group
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
16.0
18.0
20.0
1 2 3 4 5
Track number
Level
dif
fere
nce,
dB
Group 0 average Group 1 average Group 2 average
Figure 31
Threshold of acceptability for ‘beating’ tones
For the beating tones, only the relative thresholds are shown for simplicity. In Figure
32 and Figure 33 are shown the night and daytime thresholds respectively, averaged
by group. There are several clear trends.
Firstly, as before, Group 0 (sufferers) is the most sensitive group in relative terms,
setting the acceptability threshold only 2-3dB above audibility threshold for night
time beating tones. Secondly, subjects were more tolerant of the steady tones than of
the corresponding beating tone by 3-5dB. Thirdly, daytime levels were set an average
of 3-4dB higher than the corresponding night time levels. Lastly, the effect of the
beating on the response was essentially the same for day and night. These last two
points are emphasised further in Figure 34.
The question arises, does Group 0 set lower levels because they were more sensitive
in the first place, or is it because they have already suffered prolonged exposure to
low frequency noise and have become sensitised (of course many other factors may
also be involved such as personality and expectations etc.)? This is an important
question when it comes to setting limits. If the latter is the case, then all subjects
might be expected to respond in a similar way after prolonged exposure. This would
give strong support to the idea that levels need to be set at or below the audible
thresholds in order to protect the majority of the population. However, as it is not
possible to envisage an ethical way to test this, it is unlikely that we will ever be able
to answer this question. One young sufferer (whose case was eventually not used)
reported that he thought he would be able to get used to the sound, but was surprised
and dismayed to find out that he couldn‟t. This tends to suggest that sensitisation may
be an issue in some cases at least, although no general conclusions can be drawn from
only one case.
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Night time acceptability thresholds relative to hearing threshold for
beating tones: by group
0.0
5.0
10.0
15.0
20.0
25.0
40Hz steady 40Hz beating 60Hz steady 60Hz beating
Track number
Level
dif
fere
nce,
dB
Group 0 average Group 1 average Group 2 average
Figure 32
Day time acceptability thresholds relative to hearing threshold for
beating tones: by group
0.0
5.0
10.0
15.0
20.0
25.0
40Hz steady 40Hz beating 60Hz steady 60Hz beating
Track number
Level
dif
fere
nce,
dB
Group 0 average Group 1 average Group 2 average
Figure 33
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Comparison of day and night time acceptability thresholds relative to
hearing threshold for beating tones: average of all subjects
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
16.0
18.0
20.0
40Hz steady 40Hz beating 60Hz steady 60Hz beating
Track number
Level
dif
fere
nce,
dB
Day Night
`
Figure 34
Evaluation of fluctuations
Having quantified subjective response to fluctuating sound, in this section an
objective parameter is sought that reflects the responses.
Fluctuation strength
The first parameter investigated was the „fluctuation strength‟ [Te68]. This is a
relatively sophisticated parameter developed to provide a measure of sound
fluctuations for the vehicle industry. It is relatively difficult to evaluate, requiring an
appropriate computer programme which is only available on specialist equipment.
The parameter was evaluated for sounds from the field studies, but was found to give
no correlation with a subjective sense of fluctuation. It was concluded that although it
sounds promising, this parameter is not suitable for evaluation of fluctuations in LFN.
Standard deviation of sound pressure level
An alternative measure of the fluctuations is to look at the statistical distribution of
the sound pressure level sampled at set intervals. Figure 35 shows the probability
distribution plots from a 30 second sample of the 5 real sounds normalised to a mean
level (Leq) of 60dB. The height of each bar represents the length of time spent at a
particular sound level. The width of the distribution is a measure of the variation in
the sound. For example, Track 1 shows the least variation, the sound level varying
only by ±3dB from the mean, apart from a small „tail‟ of lower levels, whereas track 4
has a wider spread*. The spread of the results can most conveniently be described by
* Sounds can be heard on http://www.acoustics.salford.ac.uk/lfn.htm
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the difference between the statistical parameters L10-L90 (sometimes called the noise
climate). These parameters are available on most modern sound level meters. The
values for the five real sounds are shown in Table 8. Comparing with Figure 30 and
Figure 31 there seems to be some correlation with the thresholds of acceptability. In
particular, track 1 has the highest threshold of acceptability, typically 5dB higher than
the others and also the lowest value of L10-L90.
0
0.05
0.1
%
0
0.05
0.1
%
0
0.05
0.1
%
0
0.05
0.1
%
45 50 55 60 65 70 750
0.05
0.1
Level, dB
%
Figure 35: Distribution plots for sound levels for real sounds, Tracks 1-5
Track 1 Track 2 Track 3 Track 4 Track 5
L10-L90, dB 3.7 5.3 6.0 7.5 6.1
Average magnitude of
rate of change of level,
dB/s 27.5 32.3 32.8 31.6 32.2
Table 8: L10-L90 and rate of change of level for a 30 second sample of the real sounds used in the
laboratory tests
The relative thresholds of acceptability are plotted in Figure 36 against the value of
L10-L90 for the each sound. The points are the average for all subjects. Included on the
plot are the values for the five real sounds (diamonds), pure tones at 40 and 60Hz
(circles) and beating tones (squares – there are two points for beating tones at 40 and
60Hz, but they are so close together they cannot be distinguished).
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Figure 36
In interpreting Figure 36 it is helpful to describe some findings from one of the
preliminary tests. Here subjects were played a sequence of beating tones with varying
degrees of fluctuation. We found that the thresholds of acceptability were set at about
the same level for the various beating tones, but that there was a clear difference of
about 5dB from those for the steady tones. Arguably, Figure 36 also displays this
trend: the most fluctuating sounds, represented by points to the right, were given a
„penalty‟ of about 5dB compared with steady sounds on the left. This penalty does not
go on increasing as the L10-L90 increases, but „bottoms out‟ above L10-L90 greater than
about 4 dB. There is a transition region where the penalty varies on a sliding scale
between 0 and 5dB (as marked in dotted lines). The overall trend can be simplified
without much loss of accuracy by ignoring this short transition range. The simplified
trend can then be described as follows:
L10-L90<4: no penalty
L10-L90≥4: penalty of 5dB.
This is in a form that could be used by EHOs to decide whether to apply the 5dB
penalty.
‘Prominence’
Although the above looks promising, the difference L10-L90 is not a foolproof
parameter because it does not include any effect of the rate of fluctuations. The same
value of L10-L90 can be obtained for a slowly varying and a rapidly varying sound,
whereas experience suggests that they would be judged differently in terms of a
threshold of acceptability. The main purpose of this section is therefore to find a way
to distinguish between rapidly varying sounds (which should be given a penalty) and
sounds that vary sufficiently slowly that they are to all intents and purposes steady,
and which therefore should not be given a penalty.
A parameter has been investigated known as „prominence‟ [Pe01] (not to be confused
with the sound quality parameter of the same name). This has been suggested for
evaluation of impulsive sounds using the overall A weighted sound level. In its
Night time acceptability thresholds relative to hearing threshold for real sounds and
beating tones: variation with L10-L90
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
16.0
0 1 2 3 4 5 6 7 8
L10-L90, dB
Level
dif
fere
nce,
dB
5 dB
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original form it is not therefore suitable for low frequency sound. However, we can
take part of the concept and adapt it for the current problem, namely the idea of
assessing the rate of change of the rms Fast* sound pressure level. (In fact the idea of
using the rate of change of level has been around since at least the 1970s [Ja78].) In
the method the start of an impulse is defined when the sound pressure level starts to
vary by more than 10dB per second. We would like to establish whether this is an
appropriate figure for our purposes.
Figure 37 shows the rms fast sound pressure level for a 30 second sample of the real
sounds used in the laboratory plotted instant by instant. The time-averaged rate of
change of level is given in Table 8. The sound level varies by considerably more than
10dB per second. This was true also for the beating tones. Thus, all the sounds used in
the laboratory tests, except for the steady tones exceeded the 10dB/s value and would
be classed as containing impulses according to the prominence method. However, for
slowly varying sounds the 10dB/s value would not be exceeded. On the basis of these
results then, the figure of 10dB/s seems suitable for the current purposes.
Consequently, it is suggested that a sound only be considered to be fluctuating if the
slope of the sound level (rms fast) curve exceeds 10 dB/s. Therefore, fluctuating
sounds would attract a 5 dB penalty if the value of L10-L90 exceeds 4 dB and the slope
exceeds 10 dB/s.
50
60
70
50
60
70
50
60
70
50
60
70
0 5 10 15 20 25 3050
60
70
Time, s
Figure 37: Rms Fast sound level for a 30 second sample of real sounds
* rms Fast: is the usual setting on a sound level meter for environmental noise measurement. Rms
stands for „root mean square‟, and „Fast‟, as opposed to „Slow‟ refers to the averaging time.
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Conclusions from laboratory tests
In absolute terms, the sufferers in these tests were the least sensitive group to low
frequency sounds. A major factor in this is that their thresholds of hearing were higher
than other groups. We should avoid strong general conclusions because only three
sufferers were tested, and there was variation between them. Nevertheless, this
finding contradicts the view sometimes expressed that LFN problems are a result of
exceptional sensitivity.
In relative terms, sufferers tend to set the threshold of acceptability much closer to the
threshold of hearing than other groups. Whether this is because they are naturally less
tolerant, or have become sensitised by exposure is not known and probably never will
be. However, if as we suspect, it is at least in part due to sensitisation, then we would
expect all groups to respond similarly were they exposed for an extended period. This
supports the setting of levels close to the threshold of audibility.
The shape of the threshold of acceptability follows that of the hearing threshold up to
between 50 and 80 Hz and then rises. This is consistent in principle with the various
national criteria, and most closely resembles the Swedish curve.
Thresholds of acceptability were set typically 4-5dB higher for sounds with strong
fluctuations than for steady sounds. This is consistent with the Danish standard
method of adding a 5dB penalty for impulsive noise, as well as existing UK
guidelines for other types of noise (not low frequency) where a 5dB penalty is added
for noise with noticeable features. It is also consistent with previous published
research [Br94]. Therefore, we conclude:
it is appropriate to penalise fluctuating sounds compared with steady sounds
5dB is an appropriate level for any such „fluctuation penalty‟.
Fluctuation strength is not successful at quantifying low frequency fluctuations. The
most successful parameter was found to be the difference L10-L90 which has the
additional advantage that it is generally available to EHOs. Results suggest that a
penalty for fluctuations is appropriate when this value exceeds 4dB. In addition, a
sound should only be considered fluctuating when the rate of change of the rms fast
sound level in the third octave band of interest exceeds 10dB per second. The rate of
change of level is not a standard parameter, but EHOs with a PC-based, logging sound
level meter should be able to calculate the value without much difficulty. Those
without such a facility should be able to make a reasonable estimate „by eye‟ (see
Proposed Criteria for suggestions as to how this can be done).
Night time thresholds of acceptability were set 2-3dB lower than the corresponding
day time limit. This is a slightly lower difference than the 5dB day-time relaxation
used in the German standard. However, it is likely that, if anything, this difference is
underestimated in the laboratory tests, (see [In00]), so the figure of 5dB is an
appropriate amount by which to relax the limits for sounds only present during the
day.
There was consistency in the effect of fluctuations for day and night. Therefore, the
procedure used to assess fluctuations can be applied equally to night and day.
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CONCLUDING REMARKS Field studies show that the various national criteria were reasonably successful in
differentiating between „positively identified‟ and „unidentified‟ problems.
Furthermore, the former correspond to cases where EHO intervention is likely to be
beneficial, and the latter to cases where they will not be able to help. On this basis,
some criteria along the lines of the various national guidelines would be of
considerable benefit to EHOs in the UK faced with complaints about LFN.
The question then arises as to which of the methods is most suitable. There is not
much evidence from the field studies to distinguish one method from another, all
worked about equally well. This is probably because the problem frequencies lie in
the frequency range where the various national reference curves are in close
agreement. However, outside this range there are some differences so the choice of
curve is important. From the results of the laboratory test the Swedish curve was
identified as being the best overall shape. Poulsen [Po03] also identified the Swedish
method as the best after the Danish one, although there was little to separate them
except for music noise, which is excluded from the scope of this study. There is an
additional advantage of the Swedish method over the Danish one in that it is
considerably easier to apply.
Comparing the Swedish curve to the German one, it is less stringent at 63Hz and
above. This is seen as a positive thing because these bands often include traffic noise
above the audible threshold. This was the case in several of the field studies where the
audible threshold was exceeded in the 80 and 100Hz band but no source of LFN was
identified. The Swedish method is therefore less likely than the German method to
falsely identify traffic noise as LFN. Thus, for several reasons, the Swedish curve is
preferred at this stage.
However, the Swedish curve only extends to 31.5Hz, whereas other methods include
frequencies down to 10Hz. There is no particular evidence from the field studies to
suggest the range should be extended below 31.5Hz. However, other experience from
the literature suggests that, although rare, problems do occasionally occur below
31.5Hz and are no less serious than above 31.5Hz. Therefore, we propose that the
Swedish curve is extended down to 10Hz. The Swedish and German curves are just
under 5dB below the ISO 226 (2003) threshold at 31.5Hz, and it is proposed to
continue this trend down to lower frequencies. ISO 226 does not give values below
20Hz, but the thresholds published by Watanbe and Moller [Wa90] can be used.
Regarding the maximum frequency, there is little evidence from the case studies to
suggest up to what frequencies should be included. On the basis of experience, the
upper frequency limit will be set at 160Hz, consistent with the Danish method.
This proposed reference curve turns out to be similar to one proposed in the
Netherlands for setting low frequency noise limits in planning applications [Sl01]. It
appears that this method is already in use on a trial basis, and is thought to work well
by those who use it. The fact that similar limits have been derived independently here
gives some measure of confidence.
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Regarding fluctuations, there is evidence from the laboratory tests that a penalty for
fluctuating sounds of 5dB is appropriate. There is also evidence that such a penalty
should be applied when the difference L10-L90 exceeds 4 dB, and when the rate of
change of the rms Fast sound level in the third octave band under consideration
exceeds 10dB per second. What is not clear at present is how this penalty should
relate to the absolute level of the reference curve, i.e. whether 5dB should be
subtracted from the curves to make them more stringent, or whether the curves should
be considered to have the penalty already applied. From experience it seems likely
that most problem LFN sounds would attract the penalty, and on this assumption the
positive experience from around the world suggests that the national criteria are set at
the right level for fluctuating sounds. This being the case, it seems appropriate to
allow a relaxation of 5dB for steady sounds rather than to apply a penalty for
fluctuating sounds. This also agrees with the laboratory tests where steady sounds
were set typically more than 5dB above threshold by the most sensitive group, i.e.
sufferers, (although as stated before we should be careful about establishing absolute
levels from short exposure tests). Furthermore, one can argue that a fluctuating sound
with an average level 5dB below the threshold would be audible, whereas a steady
sound would not. Since the curve values at low frequency are set 5dB below threshold
this is again consistent with allowing a relaxation for steady sounds.
We do not have much evidence as to how long, or what proportion of the time a sound
needs to be present to become a problem. However, for case studies where a problem
was positively identified the sounds were clearly not „occasional‟ but were present on
a permanent if not continuous basis. It would have been relatively straightforward for
an EHO to decide this on the basis of measurement. Therefore, we do not propose
rigid rules but rather to leave it to the judgement of the EHO.
The equipment needed to apply the proposed method is a minimum of a sound level
meter with third octave bands down to 10Hz. This would be available to most local
authorities. Many are nowadays equipped for unmanned logging, and such equipment
would be an advantage. If audio recording is also available, this can improve the
confidence in the result. A simple method is proposed in the German method (dBC-
dBA>20dB) as an initial indicator that requires less sophisticated equipment.
However, there is evidence that although useful, this is not reliable, so it should not
form the basis for a decision.
We expect a reasonably high proportion of cases to remain unsolved even if a
criterion is adopted. This is indicated in the results of the field studies, half of which
were unidentified, and is a common experience in countries where criteria are in use.
However, this does not negate the value of a criterion which should provide EHOs
with a means of distinguishing cases where they should act from those where they can
do nothing to help. However, it does indicate the need for some alternative for those
sufferers not satisfied with the outcome. Currently, the only backup is through
voluntary organisations such as the Low Frequency Noise Sufferers Association, who
do good work but with very limited resources. An ideal complement to the proposed
criterion would be develop techniques by which the sufferer may acquire a degree of
control over their adverse reactions to the sound (see for example [Ba97]). This is
strongly recommended as an important area for further funded research (see also
[Le03].
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It is suggested that the proposed criterion be used not as a prescriptive indicator of
nuisance, but rather in the sense of guidance to help determine whether a sound exists
that might be expected to cause disturbance. Some degree of judgement by the EHO is
both desirable and necessary in deciding whether to class the situation as a nuisance,
and is likely to remain so. One of the main reasons is that, from the control cases, it is
clear that problems do not necessarily arise when the criteria are exceeded. Indeed, we
can conjecture that genuine LFN complaints occur only in a few such cases.
Therefore, factors like local knowledge and understanding of the broader situation are
likely to remain important aspects of the assessment. It is thought that this approach is
likely to find acceptance since EHOs in the UK are accustomed to a fairly wide scope
in interpreting guidelines on noise nuisance.
Although sufferers often claim there is a vibration element to the noise it is rare to
find vibration levels above the perceptible limits ([Sl01, [Ru00]).
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Proposed criteria and procedure for assessing low frequency noise
Measurement should be taken with the microphone in an unoccupied room where the
complainant says the noise is present. (Note that the person taking the measurements
may not be able to hear the sound).
Record Leq, L10 and L90 in the third octave bands between 10Hz and 160Hz.
If the Leq, taken over a time when the noise is said to be present, exceeds the values in
Table 9 it may indicate a source of LFN that could cause disturbance. The character of
the sound should be checked if possible by playing back an audio recording at
amplified level.
If the noise occurs only during the day then 5dB relaxation may be applied to all third
octave bands.
If the noise is steady then a 5dB relaxation may be applied to all third octave bands. A
noise is considered steady if either of the conditions a. or b. below is met:
a. L10-L90 < 5dB
b. the rate of change of sound pressure level (Fast time weighting) is less than
10dB per second*
where the parameters are evaluated in the third octave band which exceeds the
reference curve values (Table 9) by the greatest margin.
Table 9 Proposed reference curve
Hz 10 12.5 16 20 25 31.5 40 50 63 80 100 125 160
dB, Leq 92 87 83 74 64 56 49 43 42 40 38 36 34
* For a meter capable of storing short term Leq the rate of change is stLL /12 where
1L and 2L are subsequent values of the level and st is the time for each sample
(should be less than 0.1s). For simpler instruments it should be possible to estimate
the rate of change from the depth and speed of fluctuations judged by eye. For
example, if there are 2 fluctuations per second with a difference of 6dB from peak to
trough then the total change in a second is 24dB (two up, two down, each 6dB). The
rate of change would therefore be at least 24dB if the level changes smoothly, and
more than this if it changes irregularly or suddenly.
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REFERENCES
[Ba97] Baguley DM, Beynon GJ, Thornton F. A consideration of the effect of ear
canal resonance and hearing loss upon white noise generators for tinnitus retraining
therapy. Journal of Laryngology and Otology, 111, 803-813, 1997.
[Br94] Bradley JS, Annoyance caused by constant-amplitude and amplitude-
modulated sounds containing rumble. Noise control Engineering Journal 42(6) 203-
208, 1994.
[DI97] DIN45680 (1997) Messungen und Bewertung Tieffrequenter
Gerauscheimmissionen in der Nachbarschaft. Beiblatt 1 Hinweise zur Beurteilung bei
gewerblichen Anlagen.
[In00] Inukai Y, Nakamura, N and Taya H, Unpleasantness and acceptable limits of
low frequency sound. Journal of Low Frequency Noise and Vibration, 19(3), 135-140,
2000.
[IS03] ISO226 (2003). Acoustics - Normal equal-loudness-level curves.
[Ja78] Jacobsen T, Measurement and assessment of annoyance of fluctuating noise.
Technical University of Denmark Report no 24, 1978.
[Le03] Leventhall G. A review of published research on low frequency noise and its
effects. Report for Defra, London 2003.
[Mi01] Mirowska M, Evaluation of low frequency noise in dwellings. New Polish
recommendations. Journal of low frequency noise, 20(2) 67-74, 2001.
[Mo02] Moller H and Lydolf M, A questionnaire survey of complaints of infrasound
and low frequency noise. Journal of low frequency noise, 21(2) 53-64, 2002
[Pe01] Pederson T H, Objective method for measuring the prominence of impulsive
sounds and for adjustment of LAeq. Proc. Internoise, 2001.
[Po03] Poulsen T and Mortensen F R. Laboratory evaluation of annoyance of low
frequency noise. Danish Environmental Protection Agency Working report no 1,
2002.
[Ru00] Rushforth I, An Integrated Acoustic / Microseismic approach to Monitoring
Low Frequency Noise & Vibration, Ph.D. Thesis, University of Liverpool 2000.
[Ru02] Rushforth I R, Moorhouse A T, Styles P The Effectiveness of DIN 45680 in
Resolving a Case Study of Low Frequency Noise. Journal of Low Frequency Noise,
Vibration and Active Control, 21(4)181-198, 2002.
[Sl01] Sloven P, A structured approach to LFS – complaints in the Rotterdam region
of the Netherlands. 20(2), 75-84, 2001.
[So01] Sorensen M F, Assessment of noise with low frequency line spectra – practical
cases. Journal of Low Frequency Noise, Vibration and Active Control, 20(4) 205-208,
2002.
[Te68] Terhardt E, Acoustic roughness and fluctuation strength. Acustica 20(4), 215,
1968.
[vB99a] van den Berg G P and Passchier-Vermeer W, Assessment of low frequency
noise complaints, Proc. Internoise99, 1999.
[vB99b] van den Berg G P, Case control study in low frequency sound measurements.
Proc. Internoise99, 1999.
[Wa90] Watanabe, T., and Møller, H. Hearing thresholds and equal loudness contours
in free field at frequencies below 1kHz. Jnl Low Freq Noise Vibn 9, 135-148, (1990)
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ACKNOWLEDGEMENTS This project was funded by Defra, whose support is gratefully acknowledged.
We would like to thank all participants of field and lab studies, as well the EHOs who
helped to set up the field studies. These people cannot be named for confidentiality
reasons.
The laboratory tests were set up by Dr Bill Davies and were conducted by Paul
Kendrick.
We would like to acknowledge the contribution Geoff Leventhall in making helpful
suggestions for revision of the text.
We would also like to thank Hazel Guest, David Manley and Rosemary Mann for
their support.
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APPENDIX: SUMMARY OF RESULTS FROM FIELD STUDIES
Results for case studies not presented in the main text are given here. The
experimental details were the same as for cases 20 and 2 discussed in the main text
except that a 10Hz high pass filter has been applied in Cases 13, 16, 19 and 19A.
Case 5
Measurement filename Times identified by respondent
Case5_4421_210000.cmg 04h40
Case5_4423_210000.cmg 23h20
Location Urban
Source Suspected industrial
Microphone position Corner of bedroom
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[ID=82] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 70.31 34.9
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 38: FFT of 9m30s audio record starting 04h40m from measurement
Case5_040421_210000.cmg
Average G1 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 63 36.6
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 39: Mean 1/3 octave band spectrum 9m30s starting 04h40m from measurement
Case5_040421_210000.cmg
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Figure 40: Time history showing 63Hz 1/3 octave spectrum band from measurement
Case5_040421_210000.cmg together with lower Dutch (audibility) 33dB and Danish 46.2dB limits
[ID=82] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 70.31 31.8
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 41: FFT of 9m30s audio record starting 23h20m from measurement
Case5_040423_090000.cmg
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1 [Average] Hz dB63 35.4
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 42: Mean 1/3 octave band spectrum 9m30s starting 23h20m from measurement
Case5_040423_090000.cmg
Figure 43: Time history showing 63Hz 1/3 octave spectrum band from measurement
Case5_040423_090000.cmg together with lower Dutch (audibility) 33dB and Danish 46.2dB limits
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Case 6
Measurement filename Times identified by respondent
Case6_4325_210000.cmg 08h50
Case6_4328_210000.cmg 03h50
Location Suburban
Source Suspected industrial
Microphone position Corner of bedroom
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[ID=82] Average G1 1 Hz;(dB[2.000e-05 Pa], PWR) 46.25 42.6
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 44: FFT of 9m30s audio record starting 08h50m from measurement
Case6_040325_210000.cmg
1 [Average] Hz dB50 50.5
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 45: Mean 1/3 octave band spectrum 9m30s starting 08h50m from measurement
Case6_040325_210000.cmg
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Figure 46: Time history showing 50Hz 1/3 octave spectrum band from measurement
Case6_040325_210000.cmg together with Dutch (audibility) 39dB and Danish 50.2dB limits
[ID=82] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 100.00 29.4
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 47: FFT of 9m30s audio record starting 03h50m on 29/03/04 from measurement
Case6_040328_210000.cmg
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Average G1 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 100 26.5
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 48: Mean 1/3 octave band spectrum 9m30s starting 03h50m on 29/03/04 from
measurement Case6_040328_210000.cmg
0
10
20
30
40
50
60
70
80
21h 22h 23h 00h 01h 02h 03h 04h 05h 06h 07h 08h 09h
Figure 49: Time history showing 100Hz 1/3 octave spectrum band from measurement
Case6_040513_210000.cmg together with Dutch (audibility) 22dB and Danish 39.1dB limits
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Case 7
Measurement filename Times identified by respondent
Case7_4514_134035.cmg 19h30
Case7_4514_134035.cmg 13h30
Location Suburban
Source Suspected industrial/ commercial
Microphone position Corner of downstairs back room
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[ID=150] Average G1 Case7 Hz;(dB[2.000e-05 Pa], PSD) 70.00 31.9
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 50: FFT of 9m30s audio record starting 19h30m from measurement
Case7_040514_134035.cmg
1 [Average] Hz dB80 29.7
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 51: Mean 1/3 octave band spectrum 9m30s starting 19h30m from measurement
Case7_040514_134035.cmg
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Figure 52: Time history showing 80Hz 1/3 octave spectrum band from measurement
Case7_040514_134035.cmg together with lower Dutch (audibility) 27dB and Danish 42.5dB limits
[ID=212] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 70.00 31.8
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 53: FFT of 9m30s audio record starting 13h30m on 15/05/04 from measurement
Case7_040514_134035.cmg
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Average G1 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 80 32.6
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 54: Mean 1/3 octave band spectrum 9m30s starting 13h30m on 15/05/04 from
measurement Case7_040514_134035.cmg
Figure 55: Time history on 15/05/04 showing 80Hz 1/3 octave spectrum band from measurement
Case7_040514_134035.cmg together with lower Dutch (audibility) 27dB and Danish 42.5dB limits
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Case 8
Measurement filename Times identified by respondent
Case8_4512_210000.cmg 03h30
Case8_4513_210000.cmg 04h00
Location Suburban
Source Suspected industrial
Microphone position Upstairs bedroom
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[ID=81] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 48.44 37.2
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 56: FFT of 9m30s audio record starting 03h30m from measurement
Case8_040512_210000.cmg
Average G1 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 50 32.7
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 57: Mean 1/3 octave band spectrum 9m30s starting 03h30m from measurement
Case8_040512_210000.cmg
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Figure 58: Time history showing 50Hz 1/3 octave spectrum band from measurement
Case8_040512_210000.cmg together with Dutch (audibility) 39dB and Danish 50.2dB limits
[ID=82] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 48.44 40.1
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 59: FFT of 9m30s audio record starting 04h00m on 14/05/04 from measurement
Case8_040513_210000.cmg
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Average G1 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 50 35.7
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 60: Mean 1/3 octave band spectrum 9m30s starting 04h00m on 14/05/04 from
measurement Case8_040513_210000.cmg
Figure 61: Time history showing 50Hz 1/3 octave spectrum band from measurement
Case8_040513_210000.cmg together with lower Dutch (audibility) 39dB and Danish 50.2dB limits
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Case 13
Measurement filename Times identified by respondent
Case13_4405_210000.cmg 04h00
Case13_4406_210000.cmg 05h00
Location Suburban
Source Not known
Microphone position Corner of living room
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[ID=81] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 100.00 28.9
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 62: FFT of 9m30s audio record starting 04h00m from measurement
Case13_040406_210000.cmg
Average G1 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 100 26.7
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 63: Mean 1/3 octave band spectrum 9m30s starting 04h00m from measurement
Case13_040406_210000.cmg
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Figure 64: Time history showing 100Hz 1/3 octave spectrum band from measurement
Case13_040406_210000.cmg together with Dutch (audibility) 22dB and Danish 39.1dB limits
[ID=82] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 100.00 28.5
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 65: FFT of 9m30s audio record starting 05h00m on 07/04/04 from measurement
Case13_040406_210000.cmg
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1 [Average] Hz dB100 27.1
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 66: Mean 1/3 octave band spectrum 9m30s starting 05h00m on 07/04/04from
measurement Case13_040406_210000.cmg
Figure 67: Time history showing 100Hz 1/3 octave spectrum band from measurement
Case13_040406_210000.cmg together with lower Dutch (audibility) 22dB and Danish 39.1dB
limits
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Case 16
Measurement filename Times identified by respondent
Case16_4402_210000.cmg 02h30
Case16_4402_210000.cmg 04h10
Case16_4405_210000.cmg 02h33
Location Suburban
Source Not known.
Microphone position Corner of downstairs room
Notes Fridge/ aircraft
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[ID=81] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 70.00 31.9
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 68: FFT of 9m30s audio record starting 02h30m on 03/04/04from measurement
Case16_040402_210000.cmg
Average G1 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 100 29.5
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 69: Mean 1/3 octave band spectrum 9m30s starting starting 02h30m on 03/04/04from
measurement Case16_040402_210000.cmg
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Figure 70: Time history showing 100Hz 1/3 octave spectrum band from measurement
Case16_040402_210000.cmg together with Dutch (audibility) 22dB and Danish 39.1dB limits
Spectrum at3m35s000150.00 20.15
0
250
100
200
50
150
200
0.0080.00 40
[ID=82] G1 1 3m35s000 50.31 11.21
0m00s000 9m26s0003m00s000 5m00s000
0
250
100
200
50
150
200
Cut at50.3125 Hz s;(dB[2.000e-05 Pa], PSD) 0m00s000 9.57
0m00s000 9m26s0003m00s000 5m00s000
0.00
80.00
20
40
60
c10m00s000 0.00 0.36
c29m26s000 250.00 3.04
|c2-c1|9m26s000 250.00 2.69
0.00 80.0040
Figure 71: Sonogram of 9m30s audio record starting 02h30m on 03/04/04from measurement
Case16_040402_210000.cmg. Illustrating suspected aircraft flyover with tones varying in
frequency for example from 240 to 150Hz. Constant tone at 70Hz is possibly a pc fan, while tone
at 50Hz is possibly due to the fridge with harmonics at 100, 150 and 200Hz.
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[ID=85] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 70.00 31.8
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 72: FFT of 3m00s of audio record starting 04h10m on 03/04/04 from measurement
Case16_040402_210000.cmg.
1 [Average] Hz dB100 28.0
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 73: Mean 1/3 octave band spectrum of 3m00s starting starting 04h10m on 03/04/04 from
measurement Case16_040402_210000.cmg
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Figure 74: Time history showing 100Hz 1/3 octave spectrum band from measurement
Case16_040402_210000.cmg together with Dutch (audibility) 22dB and Danish 39.1dB limits
Spectrum at0m00s00054.06 21.59
0
250
100
200
50
150
200
0.0060.00 30
[ID=84] G1 1 0m08s000 50.31 14.84
0m00s000 2m56s0001m00s000 2m00s0002m00s000
0
250
100
200
50
150
200
Cut at0 Hz s;(dB[2.000e-05 Pa], PSD) 0m00s000 13.80
0m00s000 2m56s0001m00s000 2m00s0002m00s000
0.00
60.00
20
40
c10m00s000 0.00 5.93
c22m56s000 250.00 0.58
|c2-c1|2m56s000 250.00 5.35
0.00 60.0030
Figure 75: Sonogram of 3m00s of audio record starting 04h10m on 03/04/04from measurement
Case16_040402_210000.cmg. Illustrating suspected aircraft flyover with tones varying in
frequency for example from 240 to 180Hz. Constant tone at 70Hz is possibly a pc fan, while tone
at 50Hz is possibly due to the fridge with harmonics at 100, 150 and 200Hz.
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[ID=82] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 100.00 22.2
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 76: FFT of 2m10s of audio record starting 02h33m from measurement
Case16_040405_210000.cmg
1 [Average] Hz dB100 28.6
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 77: Mean 1/3 octave band spectrum during 2m10s of flyover starting at 02h33 on 06/04/04
from measurement Case16_040405_210000.cmg
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Figure 78: Time history showing 100Hz 1/3 octave spectrum band from measurement
Case16_040406_210000.cmg together with Dutch (audibility) 22dB and Danish 39.1dB limits
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Case 18
Measurement filename Times identified by respondent
Case18_4423_205000.cmg 22h10
Case18_4424_205000.cmg 05h10
Location Rural
Source Suspected industrial
Microphone position Corner of empty room
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[ID=47] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 44.06 35.4
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 79: FFT of 9m30s audio record starting 22h10m on 23/04/04 from measurement
Case18_040423_205000.cmg
Average G1 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 50 37.4
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 80: Mean 1/3 octave band spectrum 9m30s starting 22h10m on 23/04/04 from
measurement Case18_040423_205000.cmg
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Figure 81: Time history showing 50Hz 1/3 octave spectrum band from measurement
Case18_040423_205000.cmg together with Dutch (audibility) 39dB and Danish 50.2dB limits
[ID=46] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 49.06 44.3
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 82: FFT of 9m30s of audio record starting 05h10m on 25/04/04 from measurement
Case18_040424_205000.cmg.
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0
10
20
30
40
50
60
70
80
44 45 46 47 48 49 50 51 52 53 54 55 56
Figure 83: Zoom FFT of 9m30s of audio record starting 05h10m on 25/04/04 from measurement
Case18_040424_205000.cmg showing peaks at 48.2, 48.8 and 49.2 Hz.
Average G1 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 50 41.0
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 84: Mean 1/3 octave band spectrum starting 05h10m on 25/04/04 from measurement
Case18_040424_205000.cmg
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Figure 85: Time history showing 50Hz 1/3 octave spectrum band from measurement
Case18_040423_205000.cmg together with Dutch (audibility) 39dB and Danish 50.2dB limits
Spectrum at0m00s00048.75 39.99
0
250
100
200
50
150
200
0.0050.00
[ID=47] G1 1 0m00s000 48.75 39.99
0m00s000 9m26s0003m00s000 5m00s000
0
250
100
200
50
150
200
Cut at48.75 Hz s;(dB[2.000e-05 Pa], PSD) 0m00s000 39.99
0m00s000 9m26s0003m00s000 5m00s000
0.00
50.00
20
30
c10m00s000 0.00 22.95
c29m26s000 250.00 -7.87
|c2-c1|9m26s000 250.00 30.83
0.00 50.00
Figure 86: Sonogram of 9m30s of audio record starting 05h10m on 25/04/04 from measurement
Case18_040424_205000.cmg. Illustrating falling tones varying in frequency for example from 200
to 40Hz. Constant tone at ~50Hz is due to the fridges with harmonics at 100, 150 and 200Hz.
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Case 19
Measurement filename Times identified by respondent
Case19_4421_09000.cmg 09h20
Case19_4422_09000.cmg 12h20
Location Urban
Source Plant
Microphone position Corner of bedroom
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[ID=154] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 104.38 47.1
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 87: FFT of 9m30s audio record starting 09h20m from measurement
Case19_040421_090000.cmg
Average G1 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 100 46.1
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 88: Mean 1/3 octave band spectrum 9m30s starting 09h20m from measurement
Case19_040421_090000.cmg
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Figure 89: Time history showing 100Hz 1/3 octave spectrum band from measurement
Case19_040421_090000.cmg together with lower Dutch (audibility) 22dB and Danish 39.1dB
limits
[ID=99] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 0.00 2.7
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 90: FFT of 9m30s audio record starting 12h20m from measurement
Case19_040422_090000.cmg
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1 [Average] Hz dB50 38.7
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 91: Mean 1/3 octave band spectrum 9m30s starting 12h20m from measurement
Case19_040422_090000.cmg
Figure 92: Time history showing 50Hz 1/3 octave spectrum band from measurement
Case19_040422_090000.cmg together with lower Dutch (audibility) 39dB and Danish 50.2dB
limits
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Case 19a
Measurement filename Times identified by respondent
Case19a_4420_21000.cmg 23h10
Case19a_4422_09000.cmg 12h20
Location Urban
Source Plant
Microphone position Spare bedroom
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[ID=81] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 61.88 44.0
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 93: FFT of 9m30s audio record starting 23h10m from measurement
Case19a_040420_210000.cmg
Average G1 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 63 40.9
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 94: Mean 1/3 octave band spectrum 9m30s starting 23h10m from measurement
Case19a_040420_210000.cmg
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Figure 95: Time history showing 63Hz 1/3 octave spectrum band from measurement
Case19a_040420_210000.cmg together with Dutch (audibility) 33dB and Danish 46.2dB limits
[ID=81] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 61.25 48.7
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 96: FFT of 9m30s audio record starting 07h00m from measurement
Case19a_040424_090000.cmg
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1 [Average] Hz dB63 45.3
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 97: Mean 1/3 octave band spectrum 9m30s starting 07h00m from measurement
Case19a_040424_090000.cmg
Figure 98: Time history showing 63Hz 1/3 octave spectrum band from measurement
Case19a_040424_090000.cmg together with Dutch (audibility) 33dB and Danish 46.2dB limits
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Control Case 1
Measurement filename Times selected for presentation below
Control_case_1_4510_193000.cmg 03h00
Control_case_1_4510_193000.cmg 05h10
Location Suburban
Sources Motorway ~0.5km
Central heating pump
Microphone position Corner of bedroom
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[ID=89] Average G1 Ch. 1 Hz;(dB[2.000e-05 Pa], PSD) 70.00 37.5
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 99: FFT of 9m30s audio record starting 03h00m from measurement
Control_case_1_4510_193000.cmg. Background noise is mainly motorway at
~0.5km.
Ch. 1 [Average] Hz dB63 34.5
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 100: Mean 1/3 octave band spectrum 9m30s starting 03h00m from measurement
Control_case_1_4510_193000.cmg
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Figure 101: Time history showing 63Hz 1/3 octave spectrum band from measurement
Control_case_1_4510_193000.cmg together with Dutch (audibility) 33dB and Danish 46.2dB
limits. Noise sources are motorway and central heating.
[ID=90] Average G1 Ch. 1 Hz;(dB[2.000e-05 Pa], PSD) 35.94 62.3
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 102: FFT of 9m30s of audio record starting 06h00m from measurement
Control_case_1_4510_193000.cmg. Background noise is mainly central heating pump.
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Average G1 Ch. 1 [Average] Hz;(dB[2.000e-05 Pa], PWR) 40 57.7
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 103: Mean 1/3 octave band spectrum starting 06h00m from measurement
Control_case_1_4510_193000.cmg
Figure 104: Time history showing 40Hz 1/3 octave spectrum band from measurement
Control_case_1_4510_193000.cmg together with Polish (audibility) 44.6dB and Danish 54.6dB
limits. Noise sources are motorway and central heating.
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Control Case 3
Measurement filename Times selected for presentation below
Control_case3_4511_171944.CMG.cmg 17h19
Location Ground floor city centre flat
Sources City centre traffic
Microphone position Corner of living room
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[ID=12] Average G1 1 Hz;(dB[2.000e-05 Pa], PSD) 0.00 59.7
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160 180 200 220 240
Figure 105: FFT of 9m30s audio record starting 17h19m from measurement
Control_case3_4511_171944.CMG.cmg.
1 [Average] Hz dB63 45.8
0
10
20
30
40
50
60
70
80
1 2 4 8 16 31.5 63 125 250 500 1 k 2 k 4 k 8 k
Figure 106: Mean 1/3 octave band spectrum 9m30s starting 17h19m from measurement
Control_case3_4511_171944.CMG.cmg
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Figure 107: Time history showing 63Hz 1/3 octave spectrum band from measurement
Control_case3_4511_171944.CMG.cmg together with Dutch (audibility) 33dB and Danish 46.2dB
limits. Main noise source is city centre traffic.